The PyTorch Compiler team is dedicated to making PyTorch run faster and more resource-efficient without sacrificing its flexibility and ease of use. The team is the driving force behind PT2, a step function change in PyTorch's history that brought compiler technologies to the core of PyTorch. PT2 technologies have gained industry-wide recognition since their first release in March 2023. The team is committed to building the PT2 compiler that withstands the test of time while striving to become the #1 ML framework compiler in the industry. The team is highly innovative, passionate about the technologies we build, and loves to do deep technical work. Our work is open-source, cutting-edge, and industry-leading.
Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance Responsibilities:
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- Develop the PT2 compiler (TorchDynamo, TorchInductor, Export, PyTorch Core).
- Improve PyTorch performance via systematic solutions for the entire community.
- Explore the intersection of the PyTorch compiler and PyTorch distributed.
- Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).
- Conduct cutting-edge research on �ML compilers and ML distributed technologies.
- Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta.
- BS/MS in computer science or related field.
- Research or industry experience in compilers, ML systems, ML accelerators, HPC, GPU performance, and similar.
- Proficient in Python or CUDA programming
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Ph.D in computer science, applied mathematics, or related fields.
- Familiarity with PT2 technologies, Triton, MLIR, or experiences working inside PyTorch.
- Expert knowledge in GPU performance and writing high-performance CUDA kernels.
- Research and software engineer experience demonstrated via fellowships, patents, internships, or coding competitions.
- First-authored publications at peer-reviewed conferences (e.g., NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar).
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$56.25/hour to $173,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.