NVIDIA

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and build our teams with the smartest people in the world. Join us at the forefront of technological advancement. We're looking for a Senior Optical Mixed Signal Design Validation Engineer to drive development of test methodologies, analysis, and debugging of NVIDIA's electro-optical transceiver modules. What you'll be doing: Develop validation test methods for new photonic designs from the Mixed-Signal Design group Interact with multi-functional groups to support chip validation and ramp to production Characterize fundamental optical, electro-optical, and RF performance of new chip designs Validate, debug, and characterize new analog, photonic, electrical-optical, and mixed-signal designs Provide feedback to designers on silicon performance, design quality, and margins Verify electrical-optical compliance to industry standards Train new engineers in validation practices What we need to see: Master of Science in Electrical Engineering, Physics, Computer Engineering, or equivalent experience. Deep understanding of fundamental optical components and analog circuits RF testing experience at die or module level 8+ years of experience measuring, analyzing, and debugging complex mixed-signal designs Experience with Python, Git, Matlab, or JMP Ability to code scripts for validation, debug, data analysis, and automation Extremely responsive to time sensitive show-stopping issues Consistent, persistent, and efficient Ability to work in a team environment Detailed knowledge of optical lab equipment Ways to stand out from the crowd: Optical transceiver performance testing at high data rates Experience with control loops Working knowledge of wafer probe test systems and wafer handling NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 19, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a Senior Software Engineer to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy. What you'll be doing: Design highly available and scalable systems to meet the demands of our HPC clusters Evaluate new and innovative technologies as the landscape evolves Continuously improve infrastructure provisioning and management using automation Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem Build strong cross functional relationships and align with partners across various business units Ensure the highest level of up-time and Quality of Service (QoS) to our users through operational excellence Participate in team's on-call rotation and be a contact for service incidents What we need to see: 10+ years of experience in design, implementation, and delivery of large engineering projects Comfortable with at least two of the following programming languages: Golang, Java, C/C++, Scala, Python, Elixir. Understands scalability challenges and performance of server-side code. Able to craft and develop horizontally-scalable, resilient and performing-under-load systems. Versatile technologist with experience in full software development lifecycle - from inception and design to deployment, operation, and iterative development. Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) Strong work ethic and a passion for problem solving B.S. degree in Computer Science or related technical field (or equivalent experience) Detail oriented with great communication and collaboration skills Ways to stand out from the crowd: Prior experience building solutions for HPC clusters based on Slurm or Kubernetes Strong understanding of Linux operation system and TCP/IP fundamentals Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior ASIC Synthesis Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. What You'll Be doing: As a Front-End ASIC Synthesis Engineer, you will own RTL synthesis and gate level optimization tasks Collaboration with physical design to address timing, area, congestion tradeoffs Drive timing closure and power/area optimization across multiple design blocks Work with DFT and Verification teams to ensure functional and timing correctness What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience. 8+ years of experience in front-end ASIC synthesis and integration. Deep understanding of Verilog RTL design and digital design principles. Proven experience with industry-standard EDA tools for synthesis (e.g., Synopsys Design Compiler). Hands-on experience with timing analysis, constraint management, and post-synthesis ECO flows. Solid background in low-power and high-performance design optimization techniques. Familiarity with formal verification tools (e.g., Formality/Conformal LEC) and methodologies. Ways to stand out from the crowd: Knowledge of DFT/Test logic including JTAG, scan, high speed I/O loopback, and memory BIST. Have proficiency in programming (Python, Perl, Tcl). NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

We are now looking for a Senior Power Architecture and Optimization Engineer! NVIDIA prides ourselves in having energy efficient products. We believe that continuing to maintain our products' energy efficiency compared to competition is key to our continued success. Our team is responsible for analyzing fullchip and unit-level power data, and driving ASIC teams to improve their units' power efficiency; and is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient. Key responsibilities include developing techniques to model, analyze, and reduce power consumption of NVIDIA GPUs. As a member of this team, you will collaborate with Architects, Performance Engineers, Software Engineers, ASIC Design Engineers, and Physical Design teams to study and implement power analysis and reduction techniques for NVIDIA's next generation GPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements. What You'll Be Doing: Use internally developed tools and industry standard pre-silicon gate-level and RTL power analysis tools, to help improve product power efficiency. Develop and share best practices for performing pre-silicon power analysis. Perform comparative power analysis, to spot trends and anomalies, that warrant more scrutiny. Interact with architects and RTL designers to help them interpret their power data and identify power bugs; drive them to implement fixes. Select and run a wide variety of workloads for power analysis. Prototype a new architectural feature in Verilog and analyze power. Automate flows, define new flows to fast-track Power anomaly detection. Use AI to come up with Power optimization solutions. What We Need To See: MS (or equivalent experience) with 3+ years of experience or PhD in related fields. Strong understanding of concepts of energy consumption, estimation, data movement and low power design. Familiarity with Verilog and ASIC design principles, including knowledge of Power Artist, PTPX (Prime Power RTL, RTL Architect). Good verbal/written English and interpersonal skills; much collaboration with design teams is expected. Strong coding/automation skills, preferably in Python, Perl, and C++. Desire to bring data-driven decision-making and analytics to improve our products. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA data center systems, such as DGX and HGX, have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. These platforms bring together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We're looking for a strong technical architect to own the end-to-end architecture of these products, at the system software level. Including firmware, kernel drivers, operating systems, and user mode drivers. You will work with component leads internally and engage with industry leading cloud service providers on taking these products to market. What you'll be doing: Serve as the primary technical point of contact for major customers, leading technological discussions, defining KPIs, gathering requirements, and addressing complex technical queries. As a system software architect, lead technical innovation and strategic collaborations with major hyperscalers to architect next-generation data center products. Align NVIDIA's roadmap with major customers' requirements through direct engagement. Develop and drive adoption of new technologies and protocols. Make critical technical decisions in ambiguous situations, mitigating risks through left-shift strategies. What we need to see: Deep expertise in scalable and performant server system architecture, focusing on SW/HW interfaces. Extensive experience with complex system software for accelerators (GPUs, DPUs, FPGAs). Mastery of system firmware (SBIOS, OpenBMC), embedded systems, and Linux kernel internals. Proficiency in Out-of-Band and In-Band management architectures, device management protocols (e.g., MCTP, PLDM, SPDM, RDE) and system management protocols (Redfish, IPMI). Extensive knowledge of networking technologies and protocols, including TCP/IP, Ethernet, InfiniBand, as well as advanced switching and routing concepts Experience collaborating with platform security experts to define tradeoffs between security and ease of use. Demonstrated success in leading complex, cross-functional projects to completion, showcasing the ability to influence and achieve results without direct authority in large-scale, collaborative environments. Demonstrable experience in implementing left shift strategy to de-risk program execution. BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience). 20+ years in the area of System architecture and design. Ways to stand out from the crowd: Knowledge of cloud and cluster level deployment and management systems. Participation and contributions in standards bodies such as OCP and DMTF. Familiarity with NVIDIA HPC programming models and libraries (CUDA, cuDNN, DOCA) Knowledge of enterprise storage architectures and distributed parallel processing paradigms NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA's invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company." We're looking to grow our company and establish teams with the most thoughtful people in the world. Are you ready to change the next generation of computing? Join us at the forefront of technological advancement. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 308,000 USD - 471,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until September 30, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. NVIDIA is looking for best-in-class Senior ASIC Timing Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in crafting our groundbreaking and innovating chips, enjoy working in a meaningful, growing and professional environment where you make a significant impact in a technology-focused company. What you will be doing: You will drive physical design and timing of high-frequency and low-power DPUs and SoCs at block level, cluster level, and/or full chip level. Analyze and optimize design constraints and synthesis parameters to achieve performance, power, and area targets. Help in driving frontend and backend implementation from RTL to gds2, including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation. What we need to see: Great teammate BS (or equivalent experience) in Electrical or Computer Engineering 8+ years experience or MS (or equivalent experience) with 2 years experience in Synthesis and Timing. Understanding of DFT logic and hands-on experience in design closure. Expertise in analyzing and converging crosstalk delay, noise glitch, and electrical/manufacturing rules in deep-sub micron processes. Knowledge in process variation effect modeling and experience in design convergence taking into account process variations. Experience in critical path planning and crafting needed. Power user of Static Timing tools like Synopsys PrimeTime or Cadence Tempus. Solid experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence. Proficiency in Python, Tcl and Make for automation and scripting tasks. NVIDIA is widely considered to be the leader of AI computing, and one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 4, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

The product development team is seeking an experienced Systems Architect to drive and support our engineering efforts. Our team takes pride in building a wide range of products - GPU PCIe cards, SHIELD consumer devices, Jetson embedded platforms, DRIVE autonomous vehicle technologies, modular data center architectures, and more. In this role, you will have the opportunity to help bring ground-breaking technologies to life. What you will be doing: Interact with NVIDIA customers to ensure that all product features and optionality are clearly understood and implemented as intended Intercept potential escalations and work with engineering team to prioritize and ensure customer satisfaction Work with sales, customer management, applications engineering, and other customer facing teams to ensure alignment and prioritization to meet critical milestones for customer success Foster a mutually beneficial partnership with key customers System architecture Ability to communicate with and direct all team members building any NVIDIA product, including but not limited to, members contributing to PCB design, PCB architecture, system architecture, PCB Layout, Mechanical, Thermal, Chip Arch, product management, product marketing and executive leadership Clearly summarize and inform colleagues of the important aspects of products and systems to gather feedback and share ideas Help teams solve critical design challenges Make informed decisions and own the results NVIDIA roadmap Develop future architectures and provide guidance to software and ASIC teams to influence long term product roadmap Create new initiatives to explore undeveloped features and present their applicability to future products Analyze and summarize tradeoffs of future system architectures, product features, and software functions What we need to see: BS degree or greater in an engineering field & strong EE fundamentals (or equivalent experience) 10+ years hands-on experience with hardware architecture & product development Culture of continuous learning, ongoing process improvement, and a first-principles approach to creative problem-solving Experience in influencing decisions and leading teams in a matrix environment Excellent communication and presentation abilities, including to executive audiences With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Artificial Intelligence, Deep Learning, Autonomous Vehicles, and Robotics. We have a real passion for perfection and for building products that excite the imagination. If you share these values and have the experience and skills to participate, we would love to have you join our team. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is seeking an AI Solutions Architect to join its Infrastructure Planning and Process Team! This role will focus on the extensive scale-up of key AI solutions for NVIDIA's internal cloud infrastructure. IPP (Infrastructure, Planning and Process) is a global organization within NVIDIA, working closely with various teams such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence, and Driverless Cars to meet their infrastructure needs. The cloud services support nearly half a million automated jobs daily on five thousand servers, enhancing the productivity of thousands of NVIDIA software developers worldwide. The cloud hosts a diverse mix of machines and devices with various operating systems (Windows/Linux/Android) and hardware platforms, including NVIDIA GPUs and Tegra processors. As an AI Solutions Architect, you will manage the tools NVIDIAns use to deliver solutions quickly, and identify any gaps in these tools. You will also understand overall movement of data in the entire platform, identifying bottlenecks, defining solutions, developing key pieces, writing APIs, and owning deployment. You will collaborate with internal and external development teams to discover opportunities and solve complex problems. Your role will also involve guiding engineers in solving complex problems, developing acceptance tests, and reviewing their work and test results. Exceptional technical leadership, communication, organizational, and analytical skills are required, along with a passion for solving large and complex problems, e.g. Peta Bytes of fast storage, Million cores, 100,000 builds and 100,000 tests. What you'll be doing: Serve as an Architect developing internal AI systems used by thousands of NVIDIANs globally. Identify gaps and issues and resolve ones are better suited for AI solutions versus conventional approaches. Further divide the AI category into 'buy versus build' options by researching available tools in the market. Align with teams across Nvidia to establish overall AI system goals and break them down into specific objectives for each sub-system. Drive, motivate, convince, and mentor sub-system leads to achieve improvements with agility and speed. Identify performance bottlenecks and optimize the speed and cost efficiency of AI development and testing systems. Drive the planning of software/hardware capacity, covering both internal and public cloud, addressing the balance between time and utilization. Introduce technologies enabling massively parallel systems to improve turnaround time by an order of magnitude. Collaborate with AI product vendors to gain deep insights of the AI industry, and share them with leaders and developers internally. What we need to see: BS EE/CS or equivalent experience with 10+ years of systems software development with at least 1 year of experience in developing/exploring AI. Development with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Fine-Tuning LLMs, AI Agentic workflows, LangChain, LangGraphs, and Cascading models. Experience in deploying in hybrid, multi-cloud architecture and edge computing. Extensive experience architecting and shipping large-scale distributed software systems. Ability to identify gaps and bottlenecks, and develop solutions to optimize performance. Strong programming and software development skills in JAVA, Python, Shell-script along with good understanding of distributed systems and REST APIs. Experience in working with SQL/NoSQL database systems such as MySQL, Cassandra, MongoDB or Elasticsearch. Excellent knowledge and working experience with Docker containers and Virtual Machines. Good background of Cloud technologies like: OpenStack, Docker, Kubernetes, Chef/Puppet, Hadoop/Ceph/SwiftStack, LXC, Git, Perforce, JFrog, Kafka. Ability to work across organizational boundaries optimally to improve alignment and productivity between teams in a multi-national, multi-time-zone corporate environment. Ways to stand out from the crowd: MS or PhD in EE/CS Depth in AI, Machine Learning and Deep Learning algorithms and techniques. Strong collaborative and interpersonal skills, with a consistent record of guiding and influencing others in dynamic environments. Experience developing large-scale software systems using service-oriented architecture under real-time performance requirements. Background in designing high-performance, scalable software systems with a strong focus on hardware cost optimization. With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA is revolutionizing accelerated computing, and our innovation is powered by a relentless pursuit of excellence in system software and operating systems. With a legacy of breakthroughs in graphics, AI, and high-performance computing, NVIDIA is looking for a highly skilled and motivated Linux Kernel Architect - Tegra to help craft the next era of accelerated computing for autonomous machines! As a Senior Architect, you will play a meaningful role in the evolution of our system software stack across platforms-from automotive and robotics to large-scale data centers. You will drive architectural decisions around OS kernel subsystems, scheduling, memory management, power/performance optimization, and I/O frameworks. You will collaborate across hardware, software, and research teams to design features that power NVIDIA's next-generation products. At NVIDIA, you'll work alongside world-class engineers, contributing to products that transform industries and enrich the lives of millions. If you're driven by system-level thinking and committed to optimizing the boundary between hardware and software, we want to hear from you! What you'll be doing: Lead efforts to enhance Linux for use by autonomous machines in safety-critical environments Analyze and optimize product performance for customer needs Work with internal team members and the upstream community to bring these capabilities to various open source packages What we need to see: BS or MS degree in Computer Engineering, Computer Science, or related degree (or equivalent experience). 6+ years of relevant software development experience Expert level knowledge and experience in system software design and operating system fundamentals Deep understanding of computer architecture, microprocessor concepts (caches, buses, memory controllers, DMA, etc.) Proven leadership skills and strong ownership on past projects in an environment with complex software and hardware designs Clear verbal and written communication with the proven track record for building consensus within a large organization Exceptional C programming and low-level driver experience; background and strength with complex system-level debugging, performance analysis and test design Kernel development experience with Linux, Android, Chrome, or Windows systems Ways to stand out from the crowd: Experience as a maintainer or significant contributor to large open source software projects In depth knowledge of system level security. Demonstrated involvement with the community at large Knowledge of virtualization platforms (Xen, KVM, Hyper-V) Experience with embedded system SW concepts, e.g.: RTOS and overlay programming models Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. NVIDIA is looking for a Product Architect to help define & design GPU-based products and drive hardware/software feature improvements through collaboration with the CPU/SOC/DPU/SW teams. What you'll be doing: Participate in every facet of the definition, positioning, architecture, and execution of GPU and SoC-based products. Fields include but not limited to GPU cards, servers, automotive, robotics, industrial PC, consumer electronics, medical devices, etc. Define the architecture of the products and provides guidance to the design engineers on the alignment of topologies and implementations. Provide guidance to the cross-function team to pursue the balance of product cost, performance, and schedule. Closely drive resolution of issues and bugs gating the completion of schedule. Participate as the main engineer responsible for GPU and SoC ball-map development. What we need to see: 5+ years of experience as a Lead Product Architect for chip, platform and hardware optimization of leading industry solutions. Master's degree (or equivalent experience) in Electronic Engineering or related field. Ability to delve into technical details of the product, and strong ability to justify proposed solutions with both business and technical partners within the organization. Have strong analytical skills including past experience in PCB design and Product. Motivation and ability to manage concurrent projects, constituents, and priorities with tight deadlines in a multifaceted environment. Excellent communication skills required to work well with multi-functional teams from algorithms and software to hardware micro-architecture and silicon design teams. Experience with DFx (Design for cost, test, manufacturing), Schematic, PCB Layout, Signal Integrity, Factory manufacture. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you! Come, join our Architecture team and help build the real-time, efficient computing platform driving our success in this exciting and quickly growing field. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a n AI Infrastructure System Software Manager to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this i nfras tru cture . Ideal candidate is strong in software development, designing and creating reliable distribute d system s, and has the abi lit y to imp leme n t well though t out lo ng term maintenance strategy. What you'll be doing: Mentor, grow, and develop a world-class team of AI infrastructure engineers. Work across several teams and orgs to build products that use LLMs and agent systems to serve the needs of NVIDIA engineering teams. In that role, you will be collaborating with research and infra teams and serve a large user base (hardware/software teams across NVIDIA). Align priorities across collaborators and define metrics for measuring the success of the product/team. Develop and execute strategies for scalable, reliable, and secure AI infrastructure supporting both research and production workloads. Ensure robust monitoring, logging, visualization, and alerting capabilities to guarantee promised uptime and operational excellence. Architect, design, develop, and maintain infrastructure and large-scale applications for LLM-based solutions. Optimize these systems for performance, scalability, reliability, and secure data management. Stay updated with the latest trends in AI, ML, and infrastructure, proactively seeking opportunities to integrate advancements into Nvidia's LLM and AI infrastructure solutions. What we need to see: 10+ overall years of industry large distributed system software development experience. BS+ degree in CS or related/equivalent experience. 5+ years of experience managing of AI and SW development teams. Familiarity with modern software development stacks and tools, including containerization, cloud or on-premises deployments, API integration for seamless model operation, and real-time processing frameworks. Experience in developing and maintaining LLM or GenAI infrastructure Excellent communication, collaboration and problem-solving skills, with a dedication to encouraging an inclusive and diverse workplace. Hands-on experience developing large-scale distributed systems Ways to stand out from the crowd: Strong technical background in cloud/distributed infrastructure Experience debugging functional and performance issues in HPC GPU clusters Background in running and instrumenting distributed LLM training on a multi GPU HPC cluster Experience with HPC schedulers such as Slurm Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 425,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a Senior Software Engineer to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy. What you'll be doing: Design highly available and scalable systems to meet the demands of our HPC clusters Evaluate new and innovative technologies as the landscape evolves Continuously improve infrastructure provisioning and management using automation Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem Build strong cross functional relationships and align with partners across various business units Ensure the highest level of up-time and Quality of Service (QoS) to our users through operational excellence Participate in team's on-call rotation and be a contact for service incidents What we need to see: 10+ years of experience in design, implementation, and delivery of large engineering projects Comfortable with at least two of the following programming languages: Golang, Java, C/C++, Scala, Python, Elixir. Understands scalability challenges and performance of server-side code. Able to craft and develop horizontally-scalable, resilient and performing-under-load systems. Versatile technologist with experience in full software development lifecycle - from inception and design to deployment, operation, and iterative development. Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) Strong work ethic and a passion for problem solving B.S. degree in Computer Science or related technical field (or equivalent experience) Detail oriented with great communication and collaboration skills Ways to stand out from the crowd: Prior experience building solutions for HPC clusters based on Slurm or Kubernetes Strong understanding of Linux operation system and TCP/IP fundamentals Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI and enabled the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to address, that matters to the world, and that only we can address. This is our life's work, to amplify human imagination and intelligence, and expand what is possible. We're seeking strategic, bold, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. Make the choice to join us today. We are looking for a Senior Software Engineer to join our mission to continue improving our HPC infrastructure. Our team builds and operates sophisticated infrastructure to enable business critical services and AI applications. You will be working with a team of passionate and skilled engineers that are continuously working to provide better tools to build and manage this infrastructure. Ideal candidate is strong in software development, designing and creating reliable distributed systems, and has the ability to implement well thought out long term maintenance strategy. What you'll be doing: Design highly available and scalable systems to meet the demands of our HPC clusters Evaluate new and innovative technologies as the landscape evolves Continuously improve infrastructure provisioning and management using automation Support a globally distributed, multi-cloud hybrid environment - AWS, GCP and On-prem Build strong cross functional relationships and align with partners across various business units Ensure the highest level of up-time and Quality of Service (QoS) to our users through operational excellence Participate in team's on-call rotation and be a contact for service incidents What we need to see: 10+ years of experience in design, implementation, and delivery of large engineering projects Comfortable with at least two of the following programming languages: Golang, Java, C/C++, Scala, Python, Elixir. Understands scalability challenges and performance of server-side code. Able to craft and develop horizontally-scalable, resilient and performing-under-load systems. Versatile technologist with experience in full software development lifecycle - from inception and design to deployment, operation, and iterative development. Proficient in cloud computing and are hands-on in at least one cloud platform: GCP, AWS, or Azure. Proficient in modern CI/CD techniques, GitOps and Infrastructure as Code(IaC) Strong work ethic and a passion for problem solving B.S. degree in Computer Science or related technical field (or equivalent experience) Detail oriented with great communication and collaboration skills Ways to stand out from the crowd: Prior experience building solutions for HPC clusters based on Slurm or Kubernetes Strong understanding of Linux operation system and TCP/IP fundamentals Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Are you passionate about science? Do you want to work with researchers at top universities, and help them do their life's work? NVIDIA is seeking a high-energy, strategic, and science-savvy Senior Account Manager, Higher Education & Research to lead our relationships and business with 5-10 key R1 research institutions in the Southeast or Mid-Atlantic US. This is an outstanding opportunity to operate at the intersection of science and technology, driving the adoption of NVIDIA's platform to address humanity's greatest challenges. You will be instrumental in empowering researchers across diverse domains in a dynamic environment where innovation happens daily. NVIDIA is the engine of AI and accelerated computing, profoundly impacting research across many science domains. Our full-stack platform - encompassing supercomputers, CUDA programming model, hundreds of libraries and frameworks such as BioNeMo for life sciences, NeMo for generative AI, Omniverse platform for simulation and digital twins - enables breakthroughs previously unimaginable. Beyond accelerating research, we also engage with academia through a rich ecosystem of programs, including collaborative research, research grants, training via the Deep Learning Institute (DLI), Teaching Kits, Ambassador programs, University Recruiting, and other initiatives. This role is pivotal in orchestrating the entire company to build strategic, mutually beneficial partnerships. What You'll Be Doing: Strategic University Leadership Engagement: Serve as a trusted advisor to university partners, communicating NVIDIA's vision, technology roadmaps, and research impact. Develop relationships with senior university leaders to align NVIDIA's platform with institutional research priorities and drive large-scale adoption. Research Community Partnership: Forge strong connections with leading research labs and Principal Investigators across diverse scientific domains (e.g., AI/ML, life sciences, physical sciences, climate science, engineering, etc). Understand their grand challenges and explore if NVIDIA's platform and expertise can accelerate their discovery process and scientific outcomes. Strategy Execution: Collaborate closely with internal NVIDIA teams (Solution Architects, Developer Relations, Product Management, Business Units) and university partners (strategic PIs, labs) to develop and take on new initiatives Grow the Business: Champion organic business growth, forecast revenue, and collaborate with IT and business partners to go-to-market. Ecosystem Enablement & Adoption: Drive broad awareness, adoption, and impactful utilization of the NVIDIA platform across assigned institutions. Leverage NVIDIA's educational resources (DLI Teaching Kits, workshops, certifications) and community programs (hackathons, bootcamps). Continuous Learning: Maintain a strong understanding of the evolving Higher Education and Research (HER) landscape, scientific trends in key domains, and the capabilities of NVIDIA's full technology stack. Consistently strive to learn and reinvent yourself in this rapidly evolving field. Travel: Ability to travel up to 20% as needed to engage with universities and internal teams. What We Need to See: 10+ years of experience in roles involving scientific sales/consulting, research program management, high performance computing leadership, or working within scientific environments. Experience navigating complex university structures and engaging collaborators from C-level executives to Principal Investigators and IT directors is highly desirable. BS degree, or equivalent experience. A demonstrated commitment to lifelong learning is crucial. Advanced degree (MS, PhD, or equivalent experience) in a scientific or technical field is a plus but not required. A genuine passion for science, technology, and the mission of accelerating research. High energy, self-motivation, and ability to thrive in a rapidly evolving environment. Ability to provide thought leadership, think strategically and effectively communicate vision and influence Local to the Southeast or Mid-Atlantic US. NVIDIA is widely considered one of the technology world's most desirable employers. We attract some of the most forward-thinking, versatile, and hardworking people on the planet. We are driving forces across climate science, healthcare, autonomous vehicles, robotics, and countless other domains. Joining our team means you'll be at the heart of the AI revolution, empowering researchers to solve the world's most pressing problems. If you are creative, autonomous, passionate about making a difference, and excited by the prospect of enabling groundbreaking science with world-changing technology, we want to hear from you! Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 200,000 USD - 304,750 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Come be a part of new process technology adoption by joining NVIDIA's Advanced Technology Group! Work as part of the advanced technology team to optimize design tradeoffs and methodology on next generation CMOS technology. We are looking for a Senior ASIC Synthesis Engineer to join our dynamic and growing team! If you are problem solver and highly motivated individual searching for a collaborative and exciting role, join us today. We encourage applicants with a history of proven success working in a multicultural and diverse environment. NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities which are hard to solve, that only we can pursue, and that matter to the world. This is our life's work, to amplify human inventiveness and intelligence. What You'll Be doing: As a Front-End ASIC Synthesis Engineer, you will own RTL synthesis and gate level optimization tasks Collaboration with physical design to address timing, area, congestion tradeoffs Drive timing closure and power/area optimization across multiple design blocks Work with DFT and Verification teams to ensure functional and timing correctness What we need to see: BS or MS in Electrical Engineering, Computer Engineering, or equivalent experience. 8+ years of experience in front-end ASIC synthesis and integration. Deep understanding of Verilog RTL design and digital design principles. Proven experience with industry-standard EDA tools for synthesis (e.g., Synopsys Design Compiler). Hands-on experience with timing analysis, constraint management, and post-synthesis ECO flows. Solid background in low-power and high-performance design optimization techniques. Familiarity with formal verification tools (e.g., Formality/Conformal LEC) and methodologies. Ways to stand out from the crowd: Knowledge of DFT/Test logic including JTAG, scan, high speed I/O loopback, and memory BIST. Have proficiency in programming (Python, Perl, Tcl). NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and talented people in the world working for us. If you're creative and autonomous, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD for Level 4, and 196,000 USD - 310,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 1, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.