AI Developer Technology Engineer

NVIDIA•Durham, NC

1d•$124,000 - $241,500•Hybrid

About The Position

We are seeking an AI Developer Technology (DevTech) Engineer to accelerate the frontier of generative AI training and inference. Our team is the bridge connecting the NVIDIA platform with developers worldwide. We dive deep into customer projects to accelerate performance, eliminate bottlenecks, and partner with a vibrant developer community to deliver outstanding performance on NVIDIA systems. If you are passionate about accelerating the world's most advanced AI models and want your insights to directly influence the future of NVIDIA hardware and software stacks, we want you to be on our team.

Requirements

MS in Computer Science, Computer Engineering, or related computational field (or equivalent experience)
1+ years of relevant work or research experience in software engineering and performance tuning.
Programming fluency in C/C++ with a deep understanding of algorithms and software development.
A background in accelerated computing, with comprehensive knowledge of parallel programming, performance analysis and optimization.
Hands on experience doing low-level performance optimizations.
Foundational understanding of modern CPU and GPU architectures.
Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Nice To Haves

PhD in a relevant field.
Experience with training and inference stacks, serving frameworks, pre-training and post-training pipelines.
Strong foundation in linear algebra and numerical methods.

Responsibilities

Develop cutting-edge techniques to GPU-accelerate complex workloads across state-of-the-art generative AI (including LLMs, diffusion models, and multimodal systems), deep learning, and machine learning domains.
Work directly with key developers to optimize and accelerate generative AI training and inference on NVIDIA platform.
Build and optimize algorithms to deliver the best performance, and contribute to training and inference frameworks, low-level software libraries, and open-source projects.
Partner directly with top technical experts in industry and academia to perform in-depth analysis and optimization of complex AI algorithms on modern CPU and GPU architectures.
Shape the design of next-generation hardware, system software, libraries, and programming models through tight collaboration with NVIDIA’s internal engineering and research teams.
Share your breakthrough optimization techniques by publishing in developer blogs and presenting at industry conferences.