Senior Deep Learning Compiler Engineer

About the role

NVIDIA is seeking a Deep Learning Compiler Engineer to join its DLC team. The DLC is the backbone of NVIDIA's inference engine, supporting applications across data centers, personal devices, automotive, and robotics.

Responsibilities

• 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.
• Defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and 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 are required along with the ability to work in a dynamic product-oriented team.

Preferred Qualifications

• 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.

Benefits

With highly competitive salaries and a comprehensive benefits package, NVIDIA offers a dynamic work environment and opportunities to work on cutting-edge technologies like Virtual Reality, Artificial Intelligence, Deep Learning, and Autonomous Vehicles. The base salary range is 152,000 USD - 241,500 USD. Applicants should apply by May 4, 2026.