2 months ago
Shanghai, ChinaSenior
Responsibilities
- Apply AI-assisted tooling, including LLM-based test generation, copilots, and agent frameworks, to test authoring, failure triage, and coverage analysis.
- Develop test strategies, detailed test plans, and structured test cases from product requirements and partner use cases.
- Validate full-stack behavior across China-specific deployment environments and local partner integrations.
- Lead robot hardware bring-up testing and execute factory software validation for functional verification, calibration, diagnostics, and manufacturing acceptance.
- Test GR00T-based robot action policies on China-available hardware, including policy rollout, sim-to-real transfer fidelity, and teleoperation data quality.
- Support robot-learning data collection and maintain dashboards and automation for test coverage, fleet health, and data-pipeline quality.
- Document, reproduce, regress, and analyze internal and external bugs, providing root-cause analysis and 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 degree in Engineering or an equivalent degree in CS, CE, IT, ECE, or EEE.
- At least 3 years of hands-on software QA or test engineering experience across an embedded or robotics software stack.
- Strong Python and/or C/C++ programming skills, including the ability to write 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 engines.
- Experience developing automated test scenarios with a robotics simulator.
- Experience using Copilot, Cursor, or LLM-based agents for test generation or QA workflow automation.
- Strong written and verbal communication in 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.
- Generous benefits package for employees and their families.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.