group. We lead
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 5+ 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.
You will also be eligible for equity and .
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