What you will be doing:
Partnering with engineering, product, and business teams, understanding their strategies and technical needs, and helping define high-value solutions
Supporting Higher Education and Research customers and drivingresearch/influencing/new
Dynamically engaging with developers, scientific researchers, and data scientists, which will give you experience across a range of technical areas
Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
Working closely with customers to help them adopt and build solutions using NVIDIA technology
Leading project collaboration on NVIDIA DOCA DPU
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
5+ years of hands-on experience, primarily with Machine Learning and Deep Learning software architecture and frameworks
Excellent programming skills in rapid prototyping environments such as Python, C++ and parallel programming (e.g., CUDA) is a plus.
Experience with NVIDIA GPUs and software libraries, working with engineering or research community
Expertise with deep learning frameworks such as PyTorch.
Excellent knowledge of the theory and practice of Generative AI and Large Language Models
Strong problem-solving and debugging skills
Excellent presentation, communication, and collaboration skills
Strong written and oral communication skills in English.
Ways to stand out from the crowd:
Good knowledge of NVIDIA’s DOCA technology
Excellent knowledge of Efficient, Lower-Precision AI Training
Experience working with academia and the government
Experience with parallel programming and distributed computing platforms
Good track record of research publications
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