Senior Deep Learning Compiler Engineer - PyTorch

Overview

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder, a source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team.

Responsibilities

• Lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate large deep learning workloads.
• Contribute to Thunder in a highly collaborative environment, working with engineers who built PyTorch for NVIDIA hardware, and help pioneer new features for the open-source ecosystem.
• Perform performance analysis on workloads running on thousands of GPUs to identify optimization opportunities and shape the future design of Thunder.
• Collaborate with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate research into practical, high-impact solutions for the open-source community.

What We Need To See

• A Bachelor\'s, Master\'s, or Ph.D. in Computer Science or a related technical field (or equivalent experience).
• 8+ years of relevant work experience.
• A strong command of Python and experience building complex, well-tested software systems.
• Hands-on experience with deep learning frameworks like PyTorch or JAX. You understand how models are built and where the performance challenges lie.
• A solid foundation in compiler concepts such as abstract syntax trees (ASTs), intermediate representations (e.g., SSA form), program analysis, and code generation.
• Excellent communication and collaboration skills, essential for working effectively in a distributed, open-source environment.

Ways To Stand Out From The Crowd

• Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.
• Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).
• Experience with JAX-like functional transformations and their application in a compiler context.
• Familiarity with parallel programming, distributed systems, and writing high-performance CUDA code.
• A track record of impactful participation in open-source communities, such as through code contributions, design discussions, or mentorship.

Benefits and Equal Opportunity

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

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