Senior Deep Learning Compiler Engineer

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work.

We are looking for a Deep Learning Compiler Engineer. NVIDIA is hiring software engineers for its Deep Learning Compiler (DLC) team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the backbone of NVIDIA inference engine, spanning 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 the forms of both Ahead-of-Time and Just-in-Time. Join the team building the DLC which will be used by the entire deep learning community.

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, implement performance optimizations and analysis, craft and implement compiler infrastructure techniques for neural networks, and perform 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 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.

Ways to stand out / Nice to have

• Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
• Experience in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
• Experience with MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks such as PyTorch.
• GPU kernel generation with high performance and fast build time.
• Track record of mentoring junior engineers and interns.

Benefits & Compensation

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry’s most desirable employers. You will also be eligible for equity and benefits. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Base salary range is 152,000 USD - 218,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

Additional information

• Applications for this job will be accepted at least until January 18, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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