Software Engineer, Systems ML - PyTorch Compiler / Performance (PhD) at Meta
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Pytorch
CUDA
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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 love to do deep technical work. Our work is open source, cutting-edge, and industry leading.
- 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.
Minimum Qualifications
- 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.
- Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Vision, Generative AI, NLP, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Research or industry experience in compilers, ML systems, ML accelerators, HPC, GPU performance, and similar.
- Proficient in Python or CUDA programming
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
Preferred Qualifications
- 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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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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
$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.