Senior Compiler Engineer - DL

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

• Bachelor's, Master's or PhD 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 along with the ability to work in a dynamic product-oriented team.

Qualifications

• Proficient in GPU and NPU architecture.
• 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.
• Experience mapping AI models to execute on custom NPU solutions.
• A track record of success in mentoring junior engineers and interns.

Skills

• Experience with GPU and NPU architecture.
• Experience with MLIR, XLA, TVM, LLVM, deep learning models and algorithms, and deep learning frameworks, such as PyTorch.
• Experience mapping AI models to execute on custom NPU solutions.
• Experience with systems with constrained resources, such as embedded platforms, small memory size, and cross compilation.
• Experience mentoring junior engineers and interns.

Benefits

With highly competitive salaries and a comprehensive benefits package, NVIDIA offers an inclusive work environment and is widely considered one of the technology industry's most desirable employers. Applications for this job will be accepted at least until July 18, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.