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Dynamically engaging with developers, scientific researchers, 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
Analyze performance and power efficiency of deep learning inference workloads
Some travel to conferences and customers may be required
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 with Deep Learning frameworks such as PyTorch and TensorFlow
Strong fundamentals in programming, optimizations and software design, especially in Python
Strong problem-solving and debugging skills
Excellent knowledge of theory and practice of Large Language Models and Deep Learning inference
Excellent presentation, communication and collaboration skills
Desire to be involved in multiple diverse and creative projects
Ways To Stand Out From The Crowd:
Experience with NVIDIA GPUs and software libraries, such as , , ,
Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
Familiarity with parallel programming and distributed computing platforms
Prior experience with DL training at scale, deploying or optimizing DL inference in production
You will also be eligible for equity and .
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