Senior Software Engineer, Drive-Alpha Engineering - Autonomous Vehicles

Location: US, CA, Santa Clara

Time Type: Full time

Job Description

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding metric requirements, especially for L2++ and L3/L4. Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, autonomous model, many with proven development experiences for the highly competitive market in key functions like Highway NOA (Navigation on Autopilot) and Urban NOA (Navigation on Autopilot), as well as point to point driving (including parking).

This team is responsible for the integration and sign-off of NDAS component teams' merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause of the regression identified, and drive the corrective actions taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams' development, acting as a dependency resolver for the component teams to deliver cross-function improvement that are most impactful to NDAS product. We nurture teamwork among component teams' engineers and establish positive relationships and communications with partner organizations.

What you’ll be doing:

• Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing.

• Identify the weak link of the L2++/L3/L4 SW stack and make it strong.

• Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS SW.

• Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators.

• Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.

What we need to see:

• PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of proven experience in Computer Science, Computer Engineering, or a related technical field.

• Great coding skills in modern C++ and scripting languages like Python.

• Deep understanding of L2++/L3/L4 product features in the market.

• Hands-on experience in debugging AD SW problems.

• Ability to communicate well and work productively in a cross-disciplinary environment.

Ways To Stand Out From The Crowd:

• Experience of working as a hands-on tech lead for one or more autonomous driving components.

• Hands-on development experience of an SOP-ed AD and/or ADAS product.

• Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component).

• Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.Applications for this job will be accepted at least until March 17, 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.