NVIDIA
Robotics
LeadSoftwareEngineer–RoboticsPlatform
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Software Engineer – Robotics Platform at NVIDIA. Skills: Robotics Platform development, C++, Python, Systems software, Robotics, Developer tooling, Leadership. Lead the development, crafting, and refinement of core platform features. Influence how developers engage with the platform”
What You'll Achieve.
Deliver end-to-end software and hardware solutions driving the future of Physical AI; Enable intelligent machines to move from labs into factories, hospitals, and warehouses; Fuse simulation, accelerated compute, and real-world deployment into a single development process; Multiply team output through agentic AI tools
Industry & Context.
What They're Looking For.
Must Have
10+ years of software engineering experience with a focus on systems software, robotics, or developer tooling, Proven experience in developing and shipping robotic products, Proven experience leading or mentoring engineers, C++ and Python skills, 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, Proficiency using agentic AI tools to accelerate software development and multiply team output
Nice to Have
Hands-on experience building robot applications with ROS2, Holoscan or similar robotics middleware frameworks, Familiarity with Isaac Sim, Isaac Lab, MuJoCo or similar frameworks for simulation and learning-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 You'll Do.
and refinement of core platform features
Influence how developers engage with the platform
Build reference integrations
Guide technical work across the Robotics Platform stack
Coordinate efforts between our team and other NVIDIA partner teams
Lead the development of new Robotics Platform runtime features
and developer-facing APIs
and AI agent-ready reference applications
Optimize the platform to best leverage NVIDIA's hardware for sensor I/O processing and physical AI
How You'll Work.
Team & Collaboration
Coordinate with partner teams (hardware, simulation, AI frameworks, developer relations) to align priorities, resolve dependencies, and ship cohesive platform experiences; Collaborative approach to working within a fast-paced, multi-team environment
Full Job Description
NVIDIA's Robotics Platform delivers an end-to-end software and hardware solution driving the future of Physical AI. It supports training foundation models on DGX infrastructure, validating robot behavior through Isaac Sim, and deploying intelligence on robots at the edge via Jetson Thor. As intelligent machines move from labs into factories, hospitals, and warehouses, the Robotics Platform team builds the base software that enables this shift. They fuse simulation, accelerated compute, and real-world deployment into a single development process for robotics developers around the world. In this role, you will lead the development, crafting, and refinement of core platform features. You will influence how developers engage with the platform. You will also build reference integrations, examples, and tools that support developers in bringing physical AI to life. As a lead, you will guide technical work across the Robotics Platform stack and coordinate efforts between our team and other NVIDIA partner teams. **What You Will Be Doing:** * Lead the development of new Robotics Platform runtime features, optimizations, tooling, and developer-facing APIs — with a strong emphasis on performance and reliability. * Build clear, comprehensive, and AI agent-ready reference applications, benchmarks, skills, and tutorials showcasing platform capabilities in real-world robotics scenarios. * Optimize the platform to best leverage NVIDIA's hardware for sensor I/O processing and physical AI. * Coordinate with partner teams (hardware, simulation, AI frameworks, developer relations) to align priorities, resolve dependencies, and ship cohesive platform experiences. * Establish and champion engineering guidelines across the team: code quality, testing protocols, performance measurement, observability, and adoption of agentic AI for accelerated development. **What We Need to See:** * MS or PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent
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