Senior Deep Learning Compiler Engineer

Details

NVIDIA is looking for a Deep Learning Compiler Engineer for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world use GPUs to power a deep learning revolution, enabling breakthroughs across large language models, generative AI, recommendation systems, image classification, speech recognition, and more. NVIDIA’s DLC is used as the backbone of NVIDIA inference engine across data centers, personal devices, automotive, and robotics. The compiler must deliver leading inference performance, fast build time, reduced memory footprints, and ease of use in both Ahead-of-Time and Just-in-Time.

Responsibilities

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with members of deep learning software framework teams and hardware architecture teams to accelerate the next generation of deep learning software.
• Define public APIs, develop performance optimizations and analysis, craft and implement compiler infrastructure techniques for neural networks, and perform other general software engineering work.

Requirements

• Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience.
• 3+ years of relevant work or research experience in performance analysis and compiler optimizations.
• Ability to work independently, define project goals and scope, and lead your own development efforts.
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• Strong interpersonal skills and ability to work in a dynamic product-oriented team.

Benefits

• Eligible for equity and benefits.
• NVIDIA also provides highly competitive salaries and a comprehensive benefits package.