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Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance

AT Meta
Meta

Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance

New York, NY

This role is to develop the core PyTorch 2.0 technologies, innovate and advance the state-of-the-art of ML compilers, and accelerate PT2 adoption in research and production through engagements with OSS and internal users. 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 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. Our work is open source, cutting-edge, and industry leading.

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Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance Responsibilities:
  • Improve PyTorch performance via systematic solutions that benefit the entire community.
  • Advance the PyTorch compiler technologies and maintain its long-term health.
  • 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.
  • Engage with users of PyTorch to enable new use cases of PyTorch Compiler technologies both inside and outside Meta.
Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Proficient in Python or CUDA programming
  • 2+ years of research or industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar.
Preferred Qualifications:
  • Expert knowledge of GPU or ML accelerator performance and developing kernels/libraries targeting ML HW.
  • Experience with training or serving models or end-to-end optimizations for real models
  • Experience with PT2 technologies (e.g., TorchInductor, TorchDynamo, Export) or distributed technologies (e.g., PyTorch distributed, communication collectives, parallelism)
  • Experience in developing ML compilers (e.g., PyTorch Compiler, Triton, MLIR, JAX, XLA) or ML frameworks (e.g., JAX, vLLM, ONNX, TensorRT).
  • Good understanding of the fast-moving Generative AI space
  • Experience in building OSS communities and extensive social media presence in the ML Sys domain.
About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

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.

$70.67/hour to $208,000/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.

Client-provided location(s): New York, NY, USA
Job ID: a1KDp00000E2VOXMA3_1002
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

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