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Meta Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance in Menlo Park, California

Summary:

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.

Required Skills:

Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance Responsibilities:

  1. Develop the PT2 compiler (TorchDynamo, TorchInductor, Export, PyTorch Core).

  2. Improve PyTorch performance via systematic solutions for the entire community.

  3. Explore the intersection of the PyTorch compiler and PyTorch distributed.

  4. Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).

  5. Conduct cutting-edge research on -ML compilers and ML distributed technologies.

  6. Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta.

Minimum Qualifications:

Minimum Qualifications:

  1. BS/MS in computer science or related field.

  2. Research or industry experience in compilers, ML systems, ML accelerators, HPC, GPU performance, and similar.

  3. Proficient in Python or CUDA programming

  4. 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.

Preferred Qualifications:

Preferred Qualifications:

  1. Ph.D in computer science, applied mathematics, or related fields.

  2. Familiarity with PT2 technologies, Triton, MLIR, or experiences working inside PyTorch.

  3. Expert knowledge in GPU performance and writing high-performance CUDA kernels.

  4. Research and software engineer experience demonstrated via fellowships, patents, internships, or coding competitions.

  5. First-authored publications at peer-reviewed conferences (e.g., NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar).

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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