NVIDIA has continuously reinvented itself over three decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. We are leading the way into high growth area of Autonomous Driving, High Performance Computing, Artificial Intelligence, and Computer Gaming. 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 that are hard to solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence.
NVIDIA is looking for a highly motivated Automotive Software Engineer to join its fast-paced customer delivery organization. In this role, you will be supporting the organization’s efforts to adapt NVIDIA’s driving software stack to various target vehicles and drive the function behavior to maturity. This position requires strong software development skills (C/C++), bring-up, profiling and debug, understanding of automotive E/E, as well as excellent customer-facing skills.
What you’ll be doing
- Leading on-site the bring-up, adaptation and deployment of NVIDIA vehicle automation software in customer vehicle variants
- Map customer requirements (use cases, ODD, variants, markets) to existing AV capabilities and drive alignment
- Support vehicle integration: sensor and actuator interfaces, Vehicle IO / signal alignment, calibration, diagnostics and data logging / replay for debug
- Dive deep into analysis, diagnosing root causes, and refining the product experience
What we need to see
- 5+ years of related work experience in a technical or automotive industry. Bachelor's or Master’s degree in an engineering field is preferred.
- Strong knowledge of Linux/QNX embedded systems, C/C++ and Python
- Well-rounded knowledge of how an ADAS or autonomous vehicle stack works, and practical experience dealing with the challenges in integrating many components into one solution
- Experience integrating (not only testing) AV vehicle functions like ACC, AEB, or APA on a series production or late-prototype platform
- Experience with how faults map to feature-level degradations (L2++ / parking / active safety), diagnostic routines (factory vs. service calibration, diagnostic message flows), and static vs. online calibration—with the ability to support the customer on live projects
- Experience with log/replay workflows and KPI validation for ADAS features
- Good communication and organization skills, with a logical approach to problem solving, good time management and task prioritization skills, soft skills for customer interaction
- Good written and verbal interpersonal skills - concisely articulate knowledge and ideas with the ability to drive alignment across many stakeholders
Ways to stand out from the crowd
- Experience as an ADAS software engineer at a Tier 1 supplier or OEM, with a strong understanding of how perception, planning, and control integrate within a production autonomous driving stack.
- Experience in the development, adaptation, and testing of automotive software using a range of sensor technologies, including camera, radar, lidar, GPS, and ultrasound.
- Understanding of relevant regulations, ratings, and functional safety standards applicable to ADAS features, including ASPICE, ISO 26262, FMVSS, and Euro NCAP.
- Self-motivated and able to work effectively across international, cross-functional organizations.
If you're passionate about ADAS and autonomous vehicles, we would love to hear from you!
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 and autonomous, we want to hear from you.