Responsibilities
- Apply LLM-based test generation, copilots, and agent frameworks to automate test authoring, failure triage, and coverage analysis.
- Develop test strategies, test plans, and structured test cases based on product requirements and partner use cases.
- Validate full-stack behavior across China-specific deployment environments and local partner integrations.
- Lead robot hardware bring-up, factory software validation, calibration, diagnostics, and manufacturing acceptance testing.
- Execute end-to-end testing of GR00T-based robot action policies, including policy rollout, sim-to-real fidelity, and teleoperation data quality.
- Support robot learning data collection and infrastructure while building dashboards and automation for test coverage, fleet health, and data pipeline quality.
- Track, document, regress, and perform root-cause analysis on internal and external bugs, producing statistical quality reports.
- Collaborate with global Engineering and QA teams and Chinese robot OEM and partner engineering teams.
- Manage laboratory robot fleets, including hardware and software updates.
Requirements
- Master’s or equivalent degree in computer science, computer engineering, information technology, electronics and communication engineering, or electrical and electronics engineering.
- At least 3–4+ years of hands-on software QA or test engineering experience.
- Experience with embedded or robotics software stacks.
- Strong programming skills in Python and/or C/C++, including writing scripts and code from scratch.
- Solid Linux fundamentals, including shell scripting, system debugging, process tools, and network tools.
- Knowledge of robotics perception, navigation, manipulation, simulation, and robotics simulator test-scenario development.
- Experience using AI-assisted development tools such as Copilot, Cursor, or LLM-based agents for test generation or QA workflow automation.
- Strong written and verbal communication skills in both Chinese and English, with the ability to work with Chinese robot OEM and partner engineering teams.
- Hands-on experience with functional safety standards, particularly ISO 26262, in autonomous systems.
- Preferred experience with Chinese robot platforms, robot OEM ecosystems, reinforcement learning, sim-to-real transfer, robot learning, GR00T-based policy inference pipelines, open-source robotics projects, or ROS community packages.
Benefits
- Competitive salary and comprehensive benefits package.
- Benefits supporting employees and their families are available through NVIDIA’s benefits program.
- The role requires frequent collaboration with teams in China, India, and the United States.
H1B sponsorship
Sponsorship for this role is unconfirmed.
Nvidia’s past filings provide context. They do not guarantee sponsorship for a current opening.
H1B petition approvals by fiscal year
- FY 2026 · through Q2832
22 initial/new employment approvals · 355 changes of employer
- FY 20251,767
560 initial/new employment approvals · 415 changes of employer
- FY 20241,519
374 initial/new employment approvals · 415 changes of employer
Counts are petitions, including continuing employment and amendments, rather than unique hires. Source: USCIS
Job fields receiving H1B certifications
Partial fiscal year, through Q3
- Software Developers983 · 41%
- Electronics Engineers, Except Computer768 · 32%
- Architectural and Engineering Managers129 · 5%
- Computer and Information Research Scientists127 · 5%
- Sales Engineers77 · 3%
Job fields come from government occupation codes, rather than internal departments. Counts are certified Labor Condition Applications, not visa approvals or unique hires. Withdrawn and denied cases are excluded.
Source: US Department of LaborMatched government employer: NVIDIA CORPORATION
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.