As a Robotics Software Engineer on the Isaac Applications Team, you will bring together the software and hardware that enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents. These workflows connect data, simulation, and real-world deployment to continuously expand and improve robot capabilities.
We’re looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.
What you will be doing:
- Lead the forefront of Physical AI progress in both simulated and real humanoid robots by building the humanoid reference platform that features NVIDIA's robotics technologies.
- Build end-to-end workflows to develop, evaluate, and deploy increasingly autonomous and interactive robot capabilities.
- Extend our platform to new robot embodiments and demonstrate its adaptability through hands-on integration and validation. Address real-world compute, latency, and bandwidth constraints on physical hardware.
- Collaborate across teams in Shanghai, America, and Europe to connect capabilities and deliver reliable robotic systems.
What we need to see:
- Master’s degree in Computer Science, Robotics, Engineering, or a related field (or equivalent experience).
- 8+ years of relevant industry experience working on robotics software.
- Hands-on experience integrating, deploying, and testing software on physical robots, and confidence working directly with hardware when needed.
- Experience deploying and evaluating learned policies to control physical robots.
- Broad working knowledge of robotics software, hardware, AI, and agentic systems. We value an understanding of how these components interact within a complete system.
- Strong problem-solving skills, including tracing issues across software and hardware boundaries. Ability to work independently through ambiguous technical challenges.
- Interest in designing robotics interfaces for agent-driven operation, with the ability to learn and evaluate new approaches.
Ways To Stand Out From The Crowd:
- Experience integrating humanoid robots or mobile manipulators, from initial bring-up through reliable demonstrations of robot capabilities.
- Experience diagnosing and resolving system-level challenges across robotics software and hardware.
- Experience building end-to-end robotics workflows where AI agents perform substantial portions of the work and guide engineers through data collection, training, evaluation, and deployment.
You will also be eligible for equity and benefits.
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.Skills Required
- Master's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience
- 8+ years of relevant industry experience working on robotics software
- Hands-on experience integrating, deploying, and testing software on physical robots
- Experience deploying and evaluating learned policies to control physical robots
- Broad working knowledge of robotics software, hardware, artificial intelligence, and agentic systems
- Strong problem-solving skills across software and hardware boundaries
- Ability to work independently through ambiguous technical challenges
- Interest in designing robotics interfaces for agent-driven operation and evaluating new approaches
- Experience integrating humanoid robots or mobile manipulators from initial bring-up through reliable demonstrations
- Experience diagnosing and resolving system-level challenges across robotics software and hardware
- Experience building end-to-end robotics workflows where AI agents support data collection, training, evaluation, and deployment
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
-
Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
-
Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
-
Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
