Senior Software Engineer— Robotics Platform

NVIDIA NVIDIA · Semiconductors · Santa Clara, CA

NVIDIA's Robotics Platform is building the software and hardware systems for intelligent machines, focusing on foundational compute stacks and AI sensor processing frameworks. The role involves designing, building, and optimizing core platform features, developer APIs, reference applications, and tooling for performance, observability, and debugging, with an emphasis on leveraging NVIDIA hardware and using agentic AI for development acceleration.

What you'd actually do

  1. Build and develop new Robotics Platform runtime features, optimizations, tooling, and developer-facing APIs — with a strong emphasis on performance and reliability.
  2. Create clear, comprehensive, and AI agent-ready reference applications, benchmarks, skills, and tutorials showcasing platform capabilities in real-world robotics scenarios.
  3. Develop integrations with simulation tools for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing workflows.
  4. Develop features and tooling for performance optimization, observability, and debugging of robotics applications.
  5. Optimize the platform to best leverage NVIDIA's hardware for sensor I/O processing and physical AI.

Skills

Required

  • BS or MS in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent experience).
  • 5+ years of software engineering experience with a focus on systems software, robotics, or developer tooling.
  • Strong C++ and Python skills, and ability to work across both application and platform layers of a software stack.
  • Familiarity with robotics concepts including sensor pipelines, real-time execution, and robot application architectures.
  • Strong collaborative approach to working within a fast-paced, multi-team environment.
  • Proficiency using agentic AI tools to accelerate software development.

Nice to have

  • Hands-on experience building robot applications with ROS2, Holoscan or similar robotics middleware frameworks.
  • Familiarity with Isaac Sim, Isaac Lab, MuJoCo and similar frameworks for simulation-based robot development.
  • Background in observability tooling, distributed tracing, or telemetry for robotics, real-time, or embedded systems.
  • Experience with CUDA, TensorRT, or other NVIDIA technologies.
  • Contributions to open-source robotics projects or developer ecosystem tools.

What the JD emphasized

  • physical AI revolution
  • intelligent machines
  • foundational compute stacks
  • AI sensor processing frameworks
  • perceive, reason, and act
  • core platform features
  • AI agent-ready reference applications
  • agentic AI to accelerate and scale software development
  • skills for agentic AI developers

Other signals

  • physical AI revolution
  • intelligent machines
  • foundational compute stacks
  • AI sensor processing frameworks
  • perceive, reason, and act
  • core platform features
  • AI agent-ready reference applications
  • agentic AI to accelerate and scale software development
  • skills for agentic AI developers