Senior System Software Engineer - AV Platform

Reposted 5 Days Ago
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Santa Clara, CA
In-Office
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead development of platform test infrastructure and workflows to validate autonomous vehicle systems at scale. Integrate test infrastructure with CI/CD, improve integration efficiency for Tegra-based AV platforms, and collaborate with cross-functional teams to incorporate work into NVIDIA's DRIVE software platform while ensuring compliance with automotive and company standards.
Summary Generated by Built In

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market! This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars. You will collaborate with talented and dedicated multi-functional engineering teams across various vehicle sub-systems to integrate their work into our autonomous driving DRIVE SW platform, ensuring compliance with all relevant NVIDIA and automotive standards and guidelines. The work is exciting, impactful, and enjoyable, with deadlines, customers, and competition to navigate.

What you'll be doing:

  • Lead the development of platform test infrastructure and workflows that define how we validate autonomous platform systems at scale.

  • Drive technical alignment with cross functional teams to integrate test infrastructure with CI/CD workflows.

  • Enhance integration efficiency to facilitate development on Tegra-based Autonomous Vehicle platforms.

What we need to see:

  • BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

  • 5+ years of systems software development experience.

  • Proficiency in C/C++/Python.

  • Strong debugging skills in complex, multi-processor embedded environments.

  • Excellent communication skills and the ability to drive alignment with multiple cross-functional teams.

  • Proven expertise in embedded systems and SW/HW cross-domain knowledge.

  • Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment.

  • Results-oriented, self-motivated, and proactive.

Ways to stand out from the crowd:

  • Hands on with using AI tools.

  • Experience with cloud services, Jenkins, and Docker in continuous integration and deployment systems.

  • Knowledge of general-purpose and automotive network systems (Ethernet, CAN, etc.)

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until February 27, 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.

Top Skills

C
C++
Python
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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