Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance
Bellevue, Washington
Employer: Meta
Industry:
Salary: Competitive
Job type: Full-Time
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
Minimum Qualifications
Preferred Qualifications
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Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance Responsibilities
- 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
- 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.
Preferred Qualifications
- 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).
Start preparing
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Created: 2024-06-25
Reference: 768922688558065
Country: United States
State: Washington
City: Bellevue
ZIP: 98004
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