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Meta
Menlo 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 s
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, 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: MetaConductor
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: ConductorConductor
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: ConductorAmazon Web Services (AWS)
Cupertino, CA, United States
Description AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of co
Job Source: Amazon Web Services (AWS)Conductor
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 whi
Job Source: ConductorAmazon
Cupertino, CA, United States
AWS Machine Learning accelerators are at the forefront of AWS innovation and one of several AWS tools used for building Generative AI on AWS. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium delivers the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power f
Job Source: AmazonMenlo 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 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.
**Required Skills:**
Software Engineer, Systems ML - PyTorch Compiler / Performance (PhD) Responsibilities:
1. Develop the PT2 compiler (TorchDynamo, TorchInductor, Export, PyTorch Core).
2. Improve PyTorch performance via systematic solutions for the entire community.
3. Explore the intersection of the PyTorch compiler and PyTorch distributed.
4. Optimize Generative AI models across the stack (pre-training, fine-tuning, and inference).
5. Conduct cutting-edge research on ML compilers and ML distributed technologies.
6. Collaborate with users of PyTorch to enable new use cases of PT2 technologies both inside and outside Meta.
**Minimum Qualifications:**
Minimum Qualifications:
7. 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.
8. 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
9. Research or industry experience in compilers, ML systems, ML accelerators, HPC, GPU performance, and similar.
10. Proficient in Python or CUDA programming
11. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
**Preferred Qualifications:**
Preferred Qualifications:
12. Familiarity with PT2 technologies, Triton, MLIR, or experiences working inside PyTorch. Expert knowledge in GPU performance and writing high-performance CUDA kernels.
13. Research and software engineer experience demonstrated via fellowships, patents, internships, or coding competitions.
14. First-authored publications at peer-reviewed conferences (e.g., NeurIPS, MLSys, ASPLOS, PLDI, CGO, PACT, ICML, or similar).
**Public Compensation:**
$56.25/hour to $173,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
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 [email protected].
Email Alert for Software Engineer, Systems ML - PyTorch Compiler / Performance (PhD)_ jobs in Menlo Park
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