Voyant Photonics

Job DescriptionJob Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. Position Overview We're looking for a technically sharp intern who loves making complex technology accessible through great documentation and examples. You'll be the bridge between our cutting-edge LiDAR sensors and the developers who integrate them, turning our APIs into something customers love to work with. This role is up to 60-70% technical writing and documentation infrastructure, with the remaining time spent building software demos and sample applications that showcase what's possible with our sensors. If you geek out over well-crafted docs and clear code examples, this is your role. Timeframe: This internship lasts 2 months with a minimum commitment of 40 hours per week, and there is potential to convert to a Part-time internship this fall or a full-time role. Location: NYC Responsibilities: Primary ( 60-70% of time): Write and maintain comprehensive API documentation for C++ and Python bindings Create tutorials, quick-start guides, and integration examples that get developers up and running quickly Build and maintain tooling to keep documentation synchronized with API and firmware updates Manage documentation infrastructure and workflows (CI/CD, version control, publishing) Ensure documentation clarity, accuracy, and completeness across all customer-facing materials Secondary ( 30-40% of time): Build sample applications and integration demos using our LiDAR sensors Collect and curate example datasets that demonstrate sensor capabilities Create ROS/ROS2 bridge usage examples and robotics framework integrations Develop visual demos and code snippets for product marketing and customer onboarding Qualifications Pursuing degree in Computer Science, Software Engineering, Robotics, or related technical field Strong written communication skills with attention to clarity and detail Programming experience in C++, Rust, and/or Python Ability to understand and explain technical concepts to diverse audiences Self-directed learner who can take ownership of documentation projects Preferred Qualification: Familiarity with documentation tools (Sphinx, Doxygen, MkDocs, ReadTheDocs, etc.) Experience with ROS/ROS2 or robotics frameworks Prior technical writing, documentation, or developer relations experience Understanding of API design principles and developer experience best practices Basic scripting/automation skills for documentation tooling Experience with version control (Git/GitHub) and CI/CD pipelines Familiarity with LiDAR, point clouds, or sensor data What We Offer Team events and company meetups Complimentary lunch provided daily at our NYC office Opportunity to contribute directly to the development of next-generation LiDAR products Mentorship from senior hardware, photonics, and systems engineers Hands-on experience with PCB design, mechanical prototyping, and test automation Competitive compensation and potential for conversion to full-time Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.