Senior Technical Program Manager – Humanoid Robotics Operations
at Nvidia
USD 168,000-322,000 per year
Tech Stack
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.
AI @ 7
Communication @ 6
LLM
Machine Learning @ 7
Project Management @ 7
Python @ 3
Robotics @ 4
- 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 is seeking a Senior Technical Program Manager to join the Generalist Embodied Agent Research (GEAR) group. The team leads Project GR00T, NVIDIA’s initiative to build the AI brain for humanoid robots, and works on LLMs, foundation models, robotics, embodied AI, and physics simulation.
Responsibilities
- Work closely with researchers and engineers to track daily tasks, collect requirements, define priorities, identify critical roadblocks, and communicate with team leads.
- Coordinate with lab operations teams to ensure smooth execution of experiments, maintenance, and logistics.
- Support end-to-end data workflows, including collection planning, vendor coordination, validation, and integration with machine learning pipelines.
- Coordinate with external partners, including humanoid robot hardware companies, on project timelines, deliverables, and integration efforts.
- Track execution across multiple active workstreams, monitor blockers, and drive alignment with engineering teams.
- Work with researchers and technical leads to understand shifting priorities, surface trade-offs, and maintain delivery momentum.
- Present status updates clearly and confidently to technical collaborators and leadership.
- Manage the purchase and maintenance of lab equipment, ensuring that required hardware is available and functioning properly.
- Work with facilities personnel to address operational issues and maintain a safe, efficient lab environment.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Robotics, Mechanical Engineering, or a related engineering discipline, or equivalent experience.
- At least 6 years of experience in program or project management roles in AI, robotics, or hardware-software cross-functional environments.
- At least 8 years of previous engineering experience, ideally in AI, robotics, or machine learning-related fields.
- Strong multitasking skills and the ability to manage more than 10 project threads simultaneously while ensuring milestone completion.
- Strong sense of urgency, ownership, and execution.
- Excellent communication and technical presentation skills.
- Adaptability to a fast-paced and dynamic AI research environment.
- Fluency in spoken and written English and Mandarin to communicate with domestic and international partner companies.
- Based at NVIDIA headquarters in Santa Clara, California, with the ability to work in the lab in person.
- Hands-on coding experience and familiarity with Python and related machine learning and AI frameworks.
Preferred Qualifications
- Experience coordinating with robotics hardware vendors, contractors, or manufacturing partners in fast-paced environments.
- Strong technical background and understanding of AI, machine learning, and robotics concepts.
- Experience working across geographies and time zones.
Benefits
The role includes competitive salaries, equity, and a benefits package.
The base salary range is $168,000–$258,750 USD for Level 4 and $200,000–$322,000 USD for Level 5. Applications will be accepted at least until August 22, 2026.
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