We are now looking for a Senior Technical Program Manager for Humanoid Robotics Operations!
NVIDIA is seeking a Senior TPM to join the Generalist Embodied Agent Research (GEAR) group. We lead Project GR00T, NVIDIA’s moonshot initiative to build the AI brain for humanoid robots. You will work with an amazing and collaborative research team that consistently produces influential works on LLMs, foundation models, robotics, embodied AI, and physics simulation. We need a hardworking, passionate, and diligent TPM to help make sure the team is maximally productive and stays on track.
What you'll be doing:
Work closely with researchers and engineers in the team and track to-dos daily. Collect requirements, define priorities, understand critical roadblocks, and communicate effectively with team leads.
Coordinate with lab ops 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 ML pipelines.
Coordinate with external partners, such as humanoid robot hardware companies, to align project timelines, deliverables, and integration efforts.
Track execution across multiple active workstreams, monitor blockers, and help drive alignment with engineering teams.
Work closely with researchers and technical leads to understand shifting priorities, surface trade-offs, and maintain delivery momentum.
Present status updates clearly and confidently to both technical collaborators and leadership.
Manage the purchase and maintenance of lab equipment, ensuring all necessary hardware is available and functioning optimally. Work with facilities crew to address operational issues for a safe and efficient lab environment.
What we need to see:
A Bachelors or Masters in Computer Science, Computer Engineering, Robotics, Mechanical Engineering or related relevant Engineering Degree (or equivalent experience).
A 6+ years of experience in program or project management roles in AI, robotics, or hardware-software cross-functional environments. 8+ years of previous engineering experience, ideally in AI, robotics or machine learning related fields.
Highly meticulous with strong multi-tasking skills. Must be able to manage 10+ project threads simultaneously and ensure successful milestones.
Strong sense of urgency, ownership, and execution mindset. Someone who thrives under high pressure and consistently delivers with speed and quality.
Excellent communication and technical presentation skills.
Adaptability to a fast-paced and dynamic work environment in the highly competitive AI research landscape.
Speaking and writing fluently in English and Mandarin to communicate with domestic and international partner companies.
Based in NVIDIA HQ, Santa Clara, CA, and able to come to the lab in person.
Hands-on coding experience. Familiarity with Python and related ML/AI frameworks
Ways to stand out from the crowd:
Prior experience coordinating with robotics hardware vendors, contractors, or manufacturing partners in fast-paced environments.
Strong technical background with an understanding of AI, machine learning, and robotics concepts.
Prior background in working across geographies and time zones.
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the most desirable employers in the world. We have some of the most experienced and dedicated people in the world working for us. If you are creative, autonomous and love a challenge, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.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
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, Robotics, Mechanical Engineering, or a related engineering field, or equivalent experience
- 6+ years of experience in program or project management in AI, robotics, or hardware-software cross-functional environments
- 8+ years of engineering experience, ideally in AI, robotics, or machine learning
- Ability to manage 10 or more project threads simultaneously and deliver milestones
- Excellent communication and technical presentation skills
- Fluency in spoken and written English and Mandarin
- Based in NVIDIA headquarters in Santa Clara, California, with ability to work in the lab in person
- Hands-on coding experience and familiarity with Python and related ML/AI frameworks
- Experience coordinating with robotics hardware vendors, contractors, or manufacturing partners
- Strong understanding of AI, machine learning, and robotics concepts
- Experience working across geographies and time zones
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.”
