NVIDIA is the engine of modern AI. For over 25 years our work in accelerated computing has redefined computer graphics, autonomous machines, and now physical AI. We are looking for an AI Developer Technology Engineer to join our DevTech team in China. this role you will work directly with the developers and researchers building the next generation of robots, helping them get the most out of NVIDIA GPUs across simulation, training, and deployment. You will be part of an exceptionally experienced, globally distributed team dedicated to pushing the boundaries of embodied AI.
What you’ll be doing
- Partner with leading robotics developers and research teams in China to design, optimize, and scale embodied AI workloads on NVIDIA platforms
- Develop on and extend frameworks such as Isaac Lab, Megatron Core and VLM/VLA/WA inference framework, ensuring flawless performance at scale
- Profile and optimize GPU-based physics simulation, robot foundation model training and inference pipelines; drive the findings back into our products
- Build reference workflows and samples for imitation learning, reinforcement learning, and VLA/WA/VLM model training/inference
- Discuss your approach and results with NVIDIA engineers and external developers to continuously improve processes
- Collaborate closely with architecture, research, libraries, tools, and system software teams to invent and develop next-generation architectures, software platforms, and programming models
- Represent NVIDIA technically at developer events, workshops, and customer engagements in the region
What we need to see:
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience.
- 3+ working year experience.
- Experience with C++, CUDA, Python, and Linux.
- Proven experience with one or more physics simulators such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo.
- Strong communication skills and the ambition to grow and learn about building machine learning applications, optimization, and software engineering.
- Prior involvement with embodied AI or a history at humanoid robotics firms with a focus on physics simulation.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.Are you a creative and autonomous computer scientist with a real passion for parallel computing? If so, we want to hear from you.
Skills Required
- Bachelor's degree in Computer Science, Robotics, Engineering, or a related field, or equivalent experience
- 3+ years of working experience
- Experience with C++, CUDA, Python, and Linux
- Experience with one or more physics simulators, such as MuJoCo, Isaac Sim, PyBullet, Drake, or Gazebo
- Strong communication skills
- Knowledge or experience building machine learning applications, optimization, and software engineering
- Prior involvement with embodied AI or experience at humanoid robotics firms focused on physics simulation
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 — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
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Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
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Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.
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.”
