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.
• Performing 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 are required along with the ability to work 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, such as PyTorch.
• GPU kernel generation with high performance and fast build time.

Skills

• Experience with compiler optimization techniques.
• Knowledge of deep learning model architectures.
• Experience with machine learning libraries and frameworks.
• Experience with GPU programming and optimization.

Benefits

NVIDIA offers highly competitive salaries and a comprehensive benefits package, including equity and benefits. Applications for this position are open until May 4, 2026.