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

This role is about developing the core PyTorch 2.0 technologies, innovating and advancing the state-of-the-art of ML compilers, and accelerating PT2 adoption through direct engagements with OSS and industry 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 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 technical work. Our work is open source, cutting-edge, and industry leading.Software Engineer, Systems ML - PyTorch Compiler, PyTorch Framework, PyTorch Performance Responsibilities

• Develop the PT2 compiler (e.g., 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).
• Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta.

Minimum Qualifications

• Advanced in Python or C++ programming.
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 4+ years of research or industry experience in developing compilers, ML systems, ML accelerators, GPU performance, and similar.

Preferred Qualifications

• Experience in developing PyTorch/PT2, Triton, MLIR, JAX, XLA, TVM is a huge plus
• Experience in developing inside other ML frameworks like Caffe2, TensorFlow, ONNX, TensorRT
• Knowledge in GPU architecture, ML accelerator performance, and developing high-performance kernels.
• Experience with training models, end-to-end model optimizations, or applying ML to systems.
• Knowledge of communication collectives, PyTorch distributed, and parallelism.
• Experience in building OSS communities and extensive social media presence in the ML Sys domain.

For those who live in or expect to work from California if hired for this position, please click here for additional information. 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.
85,10 $/hour to 251.000 $/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.

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