NVIDIA is the engine of modern AI, and robotics is where AI meets the physical world. The Isaac robotics platform — spanning Isaac Sim, Isaac Lab, Isaac ROS, the foundation models behind Isaac GR00T, and the accelerated libraries that run on Jetson and in the data center — is how the world’s developers and industrial leaders build intelligent robots.
We are seeking a dedicated and highly skilled Senior SWQA Test Developer to join our Isaac QA team in China. This role sits at the intersection of Isaac platform quality and the China robotics ecosystem. You will own China-specific validation across Isaac products — covering robot hardware platforms and partner integrations that are unique to the China market. You will also own the full lifecycle of robot hardware bring-up testing, factory software validation, and the Robot Platform Certification program for NVIDIA's Chinese partner companies. Experience using AI tools to automate end-to-end QA workflows is essential. Familiarity with developing, automating, or demonstrating sophisticated AI agents and workflows is also highly desirable. This position requires frequent collaboration with Engineering and QA teams globally (India, US) as well as local Chinese robot OEM and partner teams. Join us at the forefront of the robotics and AI revolution and help shape the future of intelligent systems. Learn more at: https://www.nvidia.com/en-in/industries/robotics/
What you'll be doing:
Apply AI-assisted tooling (LLM-based test generation, copilots, agent frameworks) to accelerate test authoring, failure triage, and coverage analysis
Develop test strategy, detailed test plans, and structured test cases based on product requirements and partner use cases
Validate full-stack behavior across local partner integrations and China-specific deployment environments
Lead bring-up testing for new robot hardware platforms entering production; define and execute factory software test plans covering functional verification, calibration, diagnostics, and manufacturing acceptance criteria
Execute end-to-end testing of GR00T-based robot action policies on China-available robot hardware; validate policy rollout, sim-to-real transfer fidelity, teleoperation data quality
Support data collection and maintain robot learning infrastructure; build dashboards and automation to track test coverage, fleet health, and data pipeline quality across robot deployments
Identify, record, document, and regress internal and external bugs; provide root cause analysis and statistical quality reports to global and local stakeholders
Collaborate with Engineering and QA teams globally (India, US) as well as local Chinese robot OEM and partner teams
Manage fleet of robots in Lab including hardware and software updates
What we need to see:
Masters or Equivalent degree in CS/CE/IT/ECE/EEE
3 - 4 plus years of hands-on software QA or test engineering
experience across an embedded or robotics software stack
Excellent programming skills with Python and/or C/C++ and able to write logical scripts/code from scratch
Solid Linux fundamentals: shell scripting, system debugging, process and network tools
Good knowledge in areas of Robotics perception, navigation, manipulation and simulation
Knowledge of robotics simulator engine and ability to develop automated test scenarios using the same
Experience using AI-assisted development tools (Copilot, Cursor, LLM-based agents) for test generation or QA workflow automation
Ability to engage effectively with Chinese robot OEM and partner engineering teams; strong written and verbal communication in both Chinese and English
Hands on experience with functional safety standards (ISO 26262), particularly in autonomous systems.
Passion for debugging complex failures and driving issues to root cause
Ways to stand out from the crowd:
Experience with Chinese robot platforms (humanoids, AMRs, manipulation arms) and familiarity with China-market robot OEM ecosystems
AI/ML degree, certification, or demonstrable project work in reinforcement learning, sim-to-real transfer, or robot learning
Experience optimizing test workflows using AI tools
Experience writing or evaluating robot foundation model inference pipelines (e.g., GR00T-based policies)
Contributions to open-source robotics projects or ROS community packages
With competitive salaries and a generous benefits package, we are widely considered to be one of the world’s most desirable technology employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our best-in-class test engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com
Skills Required
- Master’s degree or equivalent in Computer Science, Computer Engineering, Information Technology, Electronics and Communication Engineering, or Electrical and Electronics Engineering
- 3–4 or more years of hands-on software quality assurance or test engineering experience
- Experience with an embedded or robotics software stack
- Strong programming skills in Python and/or C/C++, including writing scripts or code from scratch
- Solid Linux fundamentals, including shell scripting, system debugging, process tools, and network tools
- Knowledge of robotics perception, navigation, manipulation, and simulation
- Knowledge of robotics simulator engines and ability to develop automated test scenarios
- Experience using AI-assisted development tools such as Copilot, Cursor, or LLM-based agents for test generation or QA automation
- Strong written and verbal communication in Chinese and English
- Hands-on experience with functional safety standards, particularly ISO 26262, in autonomous systems
- Ability to debug complex failures and drive issues to root cause
- Experience with Chinese robot platforms such as humanoids, AMRs, or manipulation arms
- AI/ML degree, certification, or project experience in reinforcement learning, sim-to-real transfer, or robot learning
- Experience optimizing test workflows using AI tools
- Experience writing or evaluating robot foundation model inference pipelines, such as GR00T-based policies
- Contributions to open-source robotics projects or ROS community packages
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.
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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.
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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.
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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.”
