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Senior Software Engineer, Humanoid Robotics
AI in this role
Senior Robotics Software Engineer to build agentic workflows connecting simulation, robot learning, and physical robot deployment.
As a Senior Robotics Software Engineer on the Isaac Applications Team, you will build agentic workflows for Physical AI robots—connecting simulation, robot learning, and real-world deployment. You will develop tools that enable AI agents to help developers create, execute, and improve end-to-end workflows that bring learned robot behaviors from simulation to the real world. The ideal candidate brings strong software engineering skills, hands-on experience with physical robots, and an interest in applying AI agents to robotics development.
What You Will Be Doing:
- Design and build agentic workflows that connect simulation, robot learning, and deployment on physical robots.
- Develop reliable, testable tools that enable AI agents to create, execute, and improve these workflows.
- Validate these tools and workflows on a humanoid reference platform, evaluating their effectiveness in transferring learned policies to real robots and showcasing NVIDIA’s robotics technology.
- Collaborate across teams in Shanghai, America, and Europe to integrate robotics capabilities and deliver practical, repeatable development workflows.
What We Need To See:
- Master’s degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience, and 3+ years of experience in the field.
- Hands-on experience developing, deploying, and testing software on physical robots.
- Experience deploying and evaluating learned policies to control physical robots.
- Experience using AI coding agents to develop software, with the programming knowledge and engineering judgment to review, debug, and validate generated code.
- Interest in applying AI agents to robotics development, with the ability to learn and evaluate new approaches.
- Strong problem-solving skills and the ability to work independently through ambiguous technical challenges.
- Clear communication skills, including English, and experience collaborating across teams.
Ways To Stand Out From The Crowd:
- Developing AI agents that support software development or automate multi-step technical workflows.
- Training, evaluating, or transferring learned robot policies from simulation to humanoid robots or mobile manipulators.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. You’ll work alongside some of the most brilliant and talented engineers in the world. With our unprecedented growth, our extraordinary engineering teams are expanding rapidly. If you are a creative, autonomous engineer with a genuine passion for technology, we want to hear from you!
How we rate this
Senior Software Engineer, Humanoid Robotics at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where robotics was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where physical ai was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Robotics, Machine learning, Physical AI, and Software Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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