Nvidia Solution Architect 

China, Beijing, Beijing 

662655034

What you’ll be doing:

• Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, Robotic, Life science, LLM, VLM, VLA, GAI and agentic AI).

• Conduct AI engineering via playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products.

• Deliver NVIDIA tools and software to researchers and developers. Present value of NVIDIA total solution to customers.

• Assist in building AIGC, AI4S tools with the state-of-the-art AI models. It can also help the AI community use multiple NVIDIA SDKs or frameworks (esp.PhysicsNeMo/Modulus/CUDA-Q/Isaac/BioNeMo)to realize fantastic ideas!

What we need to see:

• Masters/Ph.D in Computer Science, Electrical Engineering, or a related field. 5 years above working experience.

• Programming experience and proficiency in CUDA, Python, C/C++, and familiar with Linux developing environment.

• Deep understanding of accelerated computing, AI for science, Robotics, Simulation Technology, Agentic AI, physical AI and LLM ecosystem

• Extensive knowledge and experience with recent advancements in AI for Science, LLMs, VLMs, VLA, Agentic AI and Physical AI.

• Ability to communicate effectively in a collaborative environment.

• Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities

Ways to stand out from the crowd:

• Experience and/or theoretical knowledge in accelerated computing, Robotics, AI for life science, VLA, GAI, Physical AI, etc

• Knowledge in Isaac Sim/Lab, Omniverse for digital twins, AI models training and inference for protein structure, medical imaging, gene computing,transformer/diffusionmodel, understanding the optimization methods, and having published relevant papers.

• Skills in CUDA, Robotics and deep learning frameworks (i.e TensorFlow or PyTorch).