Amazon Development Center U.S., Inc.
New York, New York
Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world's technology? Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer. As the technical lead for fault-tolerant quantum compilation, you'll own the full stack that transforms high-level quantum programs into optimized instructions that run on real hardware. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. Most importantly, you will work closely with our quantum computing research teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to get drive innovation and deliver the right solutions to our customers. A successful candidate will be a person who enjoys diving deep into customer problems, conducting independent research and development, working across teams with academic and industry experts, shaping the long-term QC strategy for AWS, and deliver the tools and systems that make useful quantum computing a reality for our customers. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of QC. Key job responsibilities - Own the technical vision and roadmap for the quantum compilation toolchain - Lead and grow a team of applied scientists and software engineers; set the bar for scientific rigor and engineering quality - Design compilation passes that minimize resource overhead for fault-tolerant quantum architectures - Collaborate with hardware, algorithms, and applications teams to co-design the compiler around real device constraints and customer workloads - Publish research and open-source contributions that advance the state of the art and attract world-class talent About the team Amazon Braket is the quantum computing service by AWS. We give researchers, developer, and enterprises access to quantum hardware and the tools to build on it. Our goal is to make quantum computing a core part of the AWS accelerated compute portfolio. The compilation team sits at the center of Braket's technical stack - bridging the gap between what customers write and what future fault-tolerant hardware executes. You'll work alongside hardware teams, scientists designing error correction protocols, and engineers building the service that bring these capabilities to our customers. BASIC QUALIFICATIONS - 5+ years of relevant work in industry or academia experience - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent) - Have peer-reviewed scientific contributions in premier journals and conferences - PhD in Quantum Computing, Computer Science, Mathematics, or related technical field PREFERRED QUALIFICATIONS - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience applying theoretical models in an applied environment - Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 218 900.00 USD annually USA, WA, Seattle - 198 000.00 USD annually
Excited by the disruptive potential of quantum technology? Want to innovate on behalf of our customers to build quantum computing tools for the cloud? Thrilled to be key part of Amazon, who has been investing in disruptive innovation for decades, pioneering and shaping the world's technology? Amazon Braket is looking for Applied Scientists in quantum computing to join an exceptional team of researchers and engineers. Quantum computing is rapidly emerging from the realms of science-fiction, and our customers can the see the potential it has to address their challenges. One of our missions at AWS is to give customers access to the most innovative technology available and help them continuously reinvent their business. Quantum computing is a technology that holds promise to be transformational in many industries, and with Amazon Braket we are adding quantum computing resources to the toolkits of every researcher and developer. As the technical lead for fault-tolerant quantum compilation, you'll own the full stack that transforms high-level quantum programs into optimized instructions that run on real hardware. You will play a key role in shaping the development roadmap of the service, and evangelizing new features and capabilities. Most importantly, you will work closely with our quantum computing research teams, as well as industry and academic partners. Our team collaborates across the entire AWS organization to get drive innovation and deliver the right solutions to our customers. A successful candidate will be a person who enjoys diving deep into customer problems, conducting independent research and development, working across teams with academic and industry experts, shaping the long-term QC strategy for AWS, and deliver the tools and systems that make useful quantum computing a reality for our customers. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of QC. Key job responsibilities - Own the technical vision and roadmap for the quantum compilation toolchain - Lead and grow a team of applied scientists and software engineers; set the bar for scientific rigor and engineering quality - Design compilation passes that minimize resource overhead for fault-tolerant quantum architectures - Collaborate with hardware, algorithms, and applications teams to co-design the compiler around real device constraints and customer workloads - Publish research and open-source contributions that advance the state of the art and attract world-class talent About the team Amazon Braket is the quantum computing service by AWS. We give researchers, developer, and enterprises access to quantum hardware and the tools to build on it. Our goal is to make quantum computing a core part of the AWS accelerated compute portfolio. The compilation team sits at the center of Braket's technical stack - bridging the gap between what customers write and what future fault-tolerant hardware executes. You'll work alongside hardware teams, scientists designing error correction protocols, and engineers building the service that bring these capabilities to our customers. BASIC QUALIFICATIONS - 5+ years of relevant work in industry or academia experience - Experience with leading experienced scientists as well as having a record of developing junior members from academia or industry to a career track in a business environment - Experience in more than one major programming language (C++, Java, or related) and at least one scripting language (Perl, Python, or equivalent) - Have peer-reviewed scientific contributions in premier journals and conferences - PhD in Quantum Computing, Computer Science, Mathematics, or related technical field PREFERRED QUALIFICATIONS - 10+ years of relevant work in industry or academia experience - Knowledge of problem solving, algorithm design and complexity analysis - Experience applying theoretical models in an applied environment - Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, NY, New York - 218 900.00 USD annually USA, WA, Seattle - 198 000.00 USD annually
Bosch Group
Sunnyvale, California
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Company Description "Invented for Life" drives us at Bosch and our vision of future mobility. Autonomous vehicles will change the way we move and at Bosch we are working on making this future a reality. We are now growing our team to solve some of the hardest automated driving problems, and are looking for experts for product engineering of AI-based Autonomous Driving systems. Job Description As the Senior Principal Engineer, E2E AI Training Framework for Autonomous Driving Systems, you will spearhead the development and optimization of the machinery that efficiently trains, optimizes, tests, and releases various E2E AI-based products (e.g. parking, driving, interior sensing) for different trim levels (entry, mid and high) within our L2+ ADAS stack. You will be responsible for defining and driving the technological roadmap for the AI machinery, ensuring its scalability, reliability, and performance. The ideal candidate must have prior industry experience in releasing AI-based L2+ systems, with a proven track record of translating innovative research into production-grade solutions. Key Responsibilities Define and drive execution of the technical roadmap and strategy for the E2E AI machinery, including training pipelines, optimization techniques, simulation and MLOps tooling. Oversee the design, development, and testing of the E2E AI machinery and its interaction with data sources, model repositories, and development targets. Collaborate closely with other functional tech leads (e.g. data engineering, infrastructure) to define and drive the overall architecture of the AI machinery ecosystem. Guide the set-up of a development framework that enables fast evaluation and integration of emerging E2E AI solutions. Guide the transition from research prototypes to production-ready solutions, ensuring performance optimization on automotive-grade hardware and scalability. Leverage your prior industry experience in launching AI-based L2+ systems to implement best practices in system validation, testing (SIL/HIL), and continuous improvement. Mentor and lead a high-caliber team of AI scientists and engineers, fostering a culture of innovation, collaboration, and technical excellence. Qualifications Basic Qualifications: Master's degree or Ph.D in Computer Science, Robotics, Electrical Engineering, AI, or a closely related field with a focus on autonomous systems 10+ years of experience in software development and system engineering for autonomous driving or ADAS applications Proven industry experience in releasing AI-based L2+ systems, with a strong track record of successful product deployments Deep knowledge of E2E AI stack solutions and training algorithms, including reinforcement learning, and imitation learning, as well as motion control and optimization techniques Deep knowledge of AI frameworks such as TensorFlow and PyTorch Deep knowledge in model optimization and embedded deployment of E2E AI stacks to embedded automotive hardware Deep knowledge of cloud-based scalable training pipelines, MLOps, and CICD for training AI models with large-scale fleet datasets Proven track record of leading the end-to-end development and successful deployment of complex AI-powered systems into production environments at scale Preferred Qualifications: Experience with simulation tools and testing methodologies (SIL/HIL) for autonomous systems. Proficiency in programming languages such as Python and C++. Strong understanding of automotive safety standards (ISO 26262, ASIL) and regulatory requirements for ADAS. Exceptional leadership and communication skills, with the ability to inspire and manage cross-functional teams. Strategic thinker with strong problem-solving abilities and a passion for innovation in autonomous driving technology. Additional Information The U.S. base salary range for this full-time position is $240,000 - $320,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
