Developer Technology Engineer, AI

Responsibilities

• Study and develop cutting-edge techniques in CUDA programming, profiling, optimization. Application domains include deep learning, graphic, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.
• Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.
• Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency.
• Need to travel from time to time for conferences and for on-site visits with developers.
• What we need to see
• A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience). While not a requirement, domain expertise in LLM, CTR, CV, or HPC, is helpful.
• 3+ years experience, programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Experience with parallel programming, ideally CUDA C/C++.
• Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

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