About the role
We're seeking a creative and experienced Technical Program Manager to drive NVIDIA's Robotics initiatives in China. You'll own program execution across research, engineering, and product teams to ship robotics solutions at scale. This role is based in Shanghai, China and requires on-site work 5 days a week.
What you'll be doing:
Drive robot fleet prioritization and utilization tracking across engineering, research, and partner teams — defining metrics, reporting capacity bottlenecks, and informing scaling decisions.
Coordinate cross-timezone workflows between Shanghai, Santa Clara, Seattle, and other global robotics sites — ensuring aligned schedules, shared standards, and smooth handoffs.
Serve as the TPM interface for China-based OEM engagements — evaluating new robot platforms, tracking hardware delivery timelines, and advising on technical integration readiness.
Drive process improvements to robot lab operations: intake prioritization frameworks, capacity planning, SLA definitions, and cross-team communication standards.
Facilitate technical reviews, triage blockers, and communicate status to the team and leadership.
Partner with the Robot Ops team to support engineering and research teams — aligning robot availability with validation, demo prep, and benchmarking campaigns, and raising systemic issues proactively.
What we need to see:
BS or MS in Computer Science, Robotics, Mechanical Engineering, Electrical Engineering, or related field (or equivalent experience).
8+ years in Technical Program Management delivering complex programs that span hardware and software teams, with exposure to physical robot platforms (humanoids, manipulators, or mobile robots).
Experience building and using operational metrics (utilization, throughput, capacity) to drive prioritization decisions — comfort with dashboards and data-driven program management.
Proven success managing complex, multi-team programs across time zones and geographies, including OEM or external partner coordination.
Technical depth sufficient to evaluate engineering proposals, ask probing questions, and offer informed feedback — not just track schedules.
Strong communication in English; Mandarin proficiency given the OEM landscape and local team coordination.
Ways to stand out from the crowd:
Prior robotics engineering, systems engineering, or test engineering role.
Direct experience with Isaac Sim, Isaac ROS, Omniverse, or equivalent simulation/SDK tools.
Familiarity with the China robotics OEM ecosystem
Background in fleet management, lab capacity planning, or resource optimization at scale.
Experience defining metrics and building reporting frameworks for hardware lab or test operations, including hardware/software co-development cycles.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
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