Senior Deep Learning Compiler Engineer

About the role

NVIDIA is seeking a Deep Learning Compiler Engineer to join its DLC team. The DLC supports the inference engine across various platforms including data centers, personal devices, automotive, and robotics.

Responsibilities

• Analyze deep learning networks and develop compiler optimization algorithms.
• Collaborate with deep learning software framework and hardware architecture teams to accelerate deep learning software.
• Define public APIs, performance optimizations, and analysis for neural networks.
• Craft and implement compiler infrastructure techniques for neural networks.
• Conduct 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 development efforts.
• Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design.
• Strong interpersonal skills required for working in a dynamic product-oriented team.

Qualifications

• Proficient in CPU and/or GPU architecture.
• CUDA or OpenCL programming experience.
• Experience with 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 like PyTorch.
• GPU kernel generation with high performance and fast build time.
• Experience mentoring junior engineers and interns is a plus.

Benefits

Competitive salaries, comprehensive benefits package, and opportunities for equity. Applications accepted until May 4, 2026. NVIDIA is an equal opportunity employer committed to diversity and inclusion.