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Meta
Menlo Park
**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
Job Source: MetaMeta
Menlo Park
**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
Job Source: MetaMeta
Menlo Park
**Summary:** In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger industry-leading PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectur
Job Source: MetaMeta
Menlo Park
**Summary:** In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger industry-leading PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectur
Job Source: MetaMeta
Menlo Park
**Summary:** In this role, you will be a member of the MTIA (Meta Training & Inference Accelerator) Software team and part of the bigger industry-leading PyTorch AI framework organization. MTIA Software Team has been developing a comprehensive AI Compiler strategy that delivers a highly flexible platform to train & serve new DL/ML model architectur
Job Source: MetaMeta
Menlo Park, CA, United States
The PyTorch compiler team is the driving force behind PT2, a step function change in the history of PyTorch. PT2 technologies have gained industry-wide recognition since its first OSS release in 2023. But there is still a long and exciting technical roadmap going forward. We seek an Engineer Manager to drive subcomponents of the PyTorch Compiler de
Job Source: MetaGrid Dynamics
Sunnyvale, CA, United States
Description Position at Grid Dynamics Our customer is an American multinational technology company headquartered in San Ramon, California. Our customer is one of the world's largest technology companies based in Silicon Valley with operations all over the world. On this project, we are working with bleeding-edge big data technologies to develop
Job Source: Grid DynamicsConductor
San Jose, CA, United States
What You’ll Do The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads whil
Job Source: ConductorMenlo Park, CA, United States
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
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).
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Email Alert for Software Engineer, Systems ML - PyTorch Compiler / ML Framework / Performance jobs in Menlo Park, CA, United States
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