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

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

Senior System Software Engineer for NVIDIA's Autonomous Vehicles Platform team, focusing on developing and productizing innovative solutions for self-driving cars. The role involves expanding HIL infrastructure and building agentic AI tools and frameworks to accelerate development and scale new platforms.

What you'd actually do

  1. 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.
  2. Build and evolve agentic AI tools and frameworks to accelerate development, improve efficiency, and enable the scaling of new platforms.
  3. 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.

Skills

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, 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.

Nice to have

  • 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.

What the JD emphasized

  • agentic AI tools
  • agentic AI tools

Other signals

  • agentic AI tools
  • autonomous vehicle platform
  • hardware-in-the-loop (HIL) infrastructure