At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, Acceleration Computing and Visualization. We are looking for a Solution Architect to work with China research community to integrate our portfolio of GPU Accelerated Computing solutions i.e. AI for difference sciences domains, Machine Learning and Deep Learning, specifically CUDA, acceleration computing SDKs, robotics tools, generative AI & agentic AI, and to build comprehensive multi-cloud, hybrid and on-prem solutions. We need a passionate, focused, self-driven and creative technologist who has the skills and strive to work in a fast-evolving technological environment that is always on the cutting edge of AI and Accelerating Computing. This individual is motivated, skilled in communication and teamwork, stays organized, and prioritizes achieving goals. Roles will include supporting business development team to close deals, helping our customer to use NVIDIA tools and softwares, bridging the researchers and developers from university to NVIDIA teams.
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/diffusion model, understanding the optimization methods, and having published relevant papers.
Skills in CUDA, Robotics and deep learning frameworks (i.e TensorFlow or PyTorch).
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you!
