Developer Technology Engineer, AI

Responsibilities

• Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications.
• 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.
• 2+ years experience with LLM training framework development and performance optimization.
• 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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