Senior Compiler Engineer - DL

Job Summary

Deep Learning Compiler Engineer at NVIDIA, working on the Deep Learning Compiler (DLC) team. Responsible for optimizing deep learning models to deliver leading inference performance across data centers, personal devices, automotive, and robotics.

• Analyzing deep learning networks and developing compiler optimization algorithms.
• Collaborating with deep learning software framework teams and hardware architecture teams to accelerate next-generation deep learning software.
• Defining public APIs, performing performance optimizations and analysis, and implementing compiler infrastructure techniques for neural networks.

• Bachelor's, Master’s, or Ph.D. in Computer Science, Computer Engineering, or 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 and ability to work in a dynamic product-oriented team.

• Proficiency in GPU and NPU architecture.
• Experience in systems with constrained resources such as embedded platforms, small memory, and cross-compilation.
• 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.
• Track record of mentoring junior engineers and interns.

Your base salary will be determined based on location, experience, and the pay of employees in similar positions. The base salary range is $152,000 to $241,500 USD. You will also be eligible for equity and benefits, including the comprehensive package offered by NVIDIA.

Applications for this job will be accepted until July 18, 2026.

Applications will be processed using AI tools in recruiting.

NVIDIA is committed to fostering an inclusive work environment and is proud to be an equal opportunity employer. We 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.