Senior Full Stack Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

356500.0

Posted On

16 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, TypeScript, Javascript, C++, Java, REST, API Integration, HD Maps, 3D Visualization, Code Reviews, DevOps, GitLab CI/CD, Computer Graphics, WebGL, NDS, OpenDrive

Industry

Computer Hardware Manufacturing

Description

We are looking for a highly motivated Full-stack applications engineer to join a team laser focused on building globally scaled HD mapping solutions. We provide survey level HD Mapping and Localization services for the NVIDIA DRIVE® platform. We are looking for senior software engineers with a strong passion in the self-driving car industry and experiences in mapping, and 3D data visualization! What you will be doing: Design, develop, and maintain modern , scalable and efficient tools to visualize and edit HD maps using React, TypeScript, and modern JavaScript frameworks Collaborate with product designers and backend engineers to build clean, efficient, and user-friendly features. Process the mapping data into formats that can be consumed by downstream customers, such as NDS/OpenDrive. Participate in code reviews, architecture discussions, and continuous improvements to the development process. Contribute to build automation, deployment pipelines, and DevOps tools as needed What we need to see: Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, GIS or a related field (or equivalent experience) Solid understanding of REST web services and API integration 8+ years of proven experience in software development for mapping, GIS, simulation or related fields, with a focus on 3D visualization tooling skills for HD maps. Strong proficiency in programming languages such as C++, Javascript, React, TypeScript. Java Strong debugging, performance profiling, and problem-solving skills Knowledge of GitLab CI/CD pipelines or similar automation tools Ways to stand out from the crowd: In-depth knowledge of Computer Graphics, Computational Geometry, GPU rendering techniques, libraries, and frameworks, such as OpenGL, WebGL, or Unity3D. Solid background in mathematics, working knowledge of computer graphics and computational geometry. Working experience with one or more HD map formats: NDS, OpenDrive, Apollo, LaneLet, OSM. Experience with Golang for backend or service development Understanding of containerization (Docker) and orchestration (Kubernetes) as well as familiarity with Bazel or similar build systems 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 February 19, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. 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 the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

The role involves designing, developing, and maintaining scalable tools for visualizing and editing High Definition (HD) maps using modern web technologies like React and TypeScript. Responsibilities also include processing mapping data into formats required by downstream customers and participating in code reviews and architecture discussions.