Automotive Software Engineer

NVIDIA is seeking 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.

Responsibilities

• 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

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

Nice to Have

• 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.