Requirements

• 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

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

Nice to Haves

• 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.

Perks and Benefits

• If you're passionate about ADAS and autonomous vehicles, this role is perfect for 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.