Senior Deep Learning Compiler Engineer

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today, we’re tapping into the unlimited potential of AI to define the next era of computing, where our GPU acts as the brains of computers, robots, and self-driving cars.

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, and more. Our DLC has been the backbone of NVIDIA’s inference engine, spanning 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 modes. Join the team building the DLC that will be used by the entire deep learning community.

• Analyzing deep learning networks and developing compiler optimization algorithms.
• Collaborating with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software.
• Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.

• 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 are required along with the ability to work in a dynamic product-oriented team.

• Proficient in CPU and/or GPU architecture. CUDA or OpenCL programming experience.
• Experiences in systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
• Experience with the following technologies: 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.
• A track record of success in mentoring junior engineers and interns is a bonus.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $152,000 USD – $241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted until May 4, 2026.

NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We highly value diversity in our current and future employees and 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.