What you’ll be doing:
Apply your experience and knowledge in areas of accelerated computing and machine learning (esp. AI4S, including weather, CFD, Quantum, materials/chemistry, Robotic, Life science).
Conduct AI engineering via playing with software and hardware and collaborating with external researchers. Partner with internal groups to transfer technologies and innovate products.
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 idea!
Mainly works inBeijing/Shanghai/Shenzhenoffice, 3~4 days/week with at least 6 months available.
What we need to see:
You are pursuing a Masters/Ph.D in Computer Science, Electrical Engineering, or a related field.
Programming experience and proficiency in Python, C/C++, and familiar with Linux developing environment.
Ability to communicate effectively in a collaborative environment.
Ways to stand out from the crowd:
Experience and/or theoretical knowledge in accelerated computing, machine learning, AI4S, etc
Knowledge intransformer/diffusionmodel, understanding the optimization methods, and having published relevant papers.
Skills in CUDA and deep learning frameworks (i.e TensorFlow or PyTorch).
משרות נוספות שיכולות לעניין אותך