Senior System Software Engineer - AV Platform

Sorry, this job was removed at 02:11 a.m. (CST) on Wednesday, Jan 28, 2026
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Hiring Remotely in Santa Clara, CA
In-Office or Remote
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role

The Automotive Vehicles Platform team is seeking a Senior System Software Engineer to develop and launch NVIDIA's autonomous vehicle platform globally. You will be part of a dedicated effort to create and market innovative solutions that will transform transportation and the growing field of self-driving cars. Collaborating with talented cross-functional engineering teams across various vehicle subsystems, you will integrate their work into our autonomous driving DRIVE SW platform, meeting or exceeding all relevant NVIDIA and automotive standards and guidelines. The work is exciting, enjoyable, and highly impactful. We have deadlines, customers, and competition.

What you'll be doing:

  • Lead software integration with a systematic approach to streamline embedded development within NVIDIA and across NVIDIA Drive Autonomous vehicle solution partners.

  • Contribute to platform software development, tools, filesystem customization, and software integration in various OS environments.

  • Work closely with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to manage cross-team dependencies, align schedules, coordinate progress, and debug to meet production release timelines.

  • Regularly engage with customer teams to productize workflows for platform integration.

  • Enhance integration efficiency to facilitate low latency development on Tegra-based Autonomous Vehicle Simulation & Car platforms.

  • Contribute to best practices for building, testing, and releasing software.

  • Analyze complex technical issues and independently drive resolution across multiple teams to enable the best user experience.

  • Work in an environment involving Hypervisor, Linux, and QNX RTOS.

What we need to see:

  • BS/MS or higher in Computer Engineering, Computer Science, or related engineering fields (or equivalent experience).

  • 8+ years of relevant industry experience.

  • Strong software development skills in Python.

  • Proficient debugging skills from application to kernel level on embedded hardware.

  • Experience in software architecture design.

  • Proven experience in embedded systems with SW/HW cross-domain knowledge.

  • Strong communication skills and ability to collaborate with multiple cross-functional teams.

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

  • Self-motivated, organized, and proactive engineer.

Ways to stand out from the crowd:

  • Exposure to cloud services, Jenkins, and Docker with experience in continuous integration and continuous deployment systems.

  • Familiarity with Bazel build systems.

  • Background with Linux and QNX filesystems, and QNX RTOS.

  • Previous experience in automotive ECU software integration.

  • Prior experience in the automotive field.

NVIDIA is widely regarded as 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 are 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

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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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