Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Software Development @ 3
Python @ 6
Performance Optimization @ 3
Debugging @ 3
API @ 3
CUDA @ 3
Observability @ 3
AI @ 3
Robotics @ 3
Agentic AI @ 3
TensorRT @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA's Robotics Platform develops software and hardware systems for the next generation of intelligent machines, from industrial robot arms to humanoid robots operating autonomously in complex real-world environments. The team builds foundational compute stacks and AI sensor processing frameworks that enable robots to perceive, reason, and act. In this role you will design, build, and optimize core platform features, shape developer-facing APIs, and create reference integrations, examples, and tools to help developers build physical AI applications.
Responsibilities
- Build and develop new Robotics Platform runtime features, optimizations, tooling, and developer-facing APIs with emphasis on performance and reliability.
- Create clear, comprehensive, and AI agent-ready reference applications, benchmarks, skills, and tutorials showcasing platform capabilities in real-world robotics scenarios.
- Develop integrations with simulation tools for software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing workflows.
- Develop features and tooling for performance optimization, observability, and debugging of robotics applications.
- Optimize the platform to leverage NVIDIA hardware for sensor I/O processing and physical AI.
- Use agentic AI to accelerate and scale software development.
- Develop skills for agentic AI developers.
Requirements
- BS or MS in Computer Science, Robotics, Electrical Engineering, or a related technical field (or equivalent experience).
- 3+ years of software engineering experience with a focus on systems software, robotics, or developer tooling.
- Strong 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.
- Strong collaborative approach to working within a fast-paced, multi-team environment.
- Proficiency using agentic AI tools to accelerate software development.
Preferred / 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.
Compensation & Additional Information
- Base salary range: $152,000 - $241,500 (Level 3) and $184,000 - $287,500 (Level 4). Base salary will be determined based on location, experience, and pay of employees in similar positions.
- Eligible for equity and benefits.
- Applications accepted at least until May 8, 2026. This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer committed to diversity.