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AI Developer Technology Engineer

Nvidia

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What technology roles keep asking for: Stakeholder management (21%), Python (17%), AWS (16%), Agile (15%) — counted across their open postings here.

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  1. Why do you want to join Nvidia?
  2. What is your experience with C++? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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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.

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Listed on workday · posted 2026-10-12. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.