NVIDIA

NVIDIA

Posted via Workday

Senior System Software Engineer, AV Platform - Test Platform Infrastructure, Tools and Simulation

Posted Aug 5, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
5+ years of demonstrated success in designing and implementing system software and tools.
Education
BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience).

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Role Summary

AI-generated

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to expand NVIDIA's autonomous vehicle platform into new markets. The role focuses on hardware-in-the-loop infrastructure, agentic AI development tools, and scalable workflows for autonomous vehicle simulation and system deployment.

What You'll Do

  • Drive the expansion of hardware-in-the-loop infrastructure for deployment and lifecycle management of autonomous systems at scale
  • Build and evolve agentic AI tools and frameworks to accelerate development and improve efficiency
  • Lead cross-functional design for the hardware-in-the-loop system across hardware architecture, embedded software, and application-layer...
  • Deliver scalable workflows across organizational boundaries

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Expertise in low-level debugging and system-level optimization within complex embedded hardware-software ecosystems; ability to drive technical alignment across organizational boundaries; strong communication across global, fast-paced teams.

Required

  • BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience)
  • 5+ years of demonstrated success in designing and implementing system software and tools
  • Expertise in low-level debugging and system-level optimization within complex embedded hardware-software ecosystems
  • Proven ability to drive technical alignment across organizational boundaries
  • Strong communicator who can operate effectively across global, fast-paced teams

Preferred

  • Hands-on experience designing and deploying HIL/SIL systems for embedded automotive or robotics platforms
  • Demonstrated track record of building agentic AI tools that accelerate software development
  • Experience scaling CI/CD pipelines, including Jenkins, Docker, or Kubernetes, in cloud-native or hybrid environments
  • In-depth domain expertise in automotive networking protocols, including Ethernet, CAN/CAN-FD, or LIN, and real-time communication middleware

Original job description

Content provided by the employer

The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to new markets! This role involves developing and productizing innovative solutions that will transform transportation and the field of self-driving cars.

What you'll be doing:

  • Drive the expansion of hardware-in-the-loop (HIL) infrastructure to support the robust deployment and lifecycle management of next-generation autonomous systems at scale.

  • Build and evolve agentic AI tools and frameworks to accelerate development, improve efficiency, and enable the scaling of new platforms.

  • Lead highly cross-functional design for the HIL system — spanning HW architecture, embedded software, and application-layer tooling to deliver scalable workflows across organizational boundaries.

What we need to see:

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

  • 5+ years of demonstrated success in designing and implementing system software and tools.

  • Expertise in low-level debugging and system-level optimization within complex embedded hardware-software ecosystems.

  • Proven ability to drive technical alignment across organizational boundaries, synthesizing system-wide requirements from multiple stakeholders.

  • Strong communicator who can operate effectively across global, fast-paced teams.

  • A results-driven mindset to solving ambiguous technical challenges.

Ways to stand out from the crowd:

  • Hands-on experience designing and deploying HIL/SIL systems for embedded automotive or robotics platforms.

  • Demonstrated track record of building agentic AI tools that accelerate software development.

  • Experience scaling CI/CD pipelines (e.g., Jenkins, Docker, Kubernetes) in cloud-native or hybrid environments for mission-critical system software.

  • In-depth domain expertise in automotive networking protocols (Ethernet, CAN/CAN-FD, LIN) and real-time communication middleware.

We value different paths to technical excellence and welcome candidates who bring strong judgment, curiosity, and a collaborative approach. Come build the future of autonomous vehicle simulation with us!

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 August 2, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.