NVIDIA Logo

NVIDIA

Senior System Software Engineer - AV Platform

Reposted 5 Days Ago
Be an Early Applicant
In-Office
Santa Clara, CA
152K-288K Annually
Senior level
In-Office
Santa Clara, CA
152K-288K Annually
Senior level
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.
The summary above was generated by AI

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
HQ

NVIDIA Santa Clara, California, USA Office

2701 San Tomas Expressway, Santa Clara, CA, United States, Santa Clara

Similar Jobs

10 Days Ago
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Develop and maintain autonomous-vehicle platform and middleware software, integrating sensors, building data recording systems, optimizing performance, and collaborating across hardware, software, safety, algorithms, and cloud teams.
Top Skills: CC++CamerasComputer VisionEmbedded SystemsGpsGpuImuLidarLinuxPythonQnxRadarReal-Time Operating SystemsRosSource Control ToolsVehicle Can
10 Days Ago
In-Office
Santa Clara, CA, USA
152K-288K Annually
Senior level
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves designing and developing core components for autonomous driving software, optimizing software architecture, and performing in-vehicle tests.
Top Skills: BazelC++CudaGitLinuxOpencvQnx
7 Hours Ago
In-Office
Costa Mesa, CA, USA
129K-171K Annually
Senior level
129K-171K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Electrical Engineer will design and integrate electrical subsystems, troubleshoot issues, and ensure system performance for maritime operations.
Top Skills: AIAltiumAnalog ElectronicsAutomation Test EquipmentCanDigital ElectronicsEagleElectronic Cad Tools (NxEthernetGitGitI2CJIRALattice OsLogic AnalyzersModbusMulti-MeterOscilloscopesProfinetSolidworks)Usb

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account