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Summary:

You will be a member of the Triton Accel team and part of the bigger industry-leading PyTorch AI framework organization. Triton is a breakthrough Python-based language and compiler for authoring performant kernels for AI Accelerators such as GPUs.Our team works on all aspects of Triton - compiler optimizations (architecture-independent and dependent), performance and debug tooling, authoring performant kernels, and more. Our emphasis is OSS, but we also work with internal product teams.

Required Skills:

Research Scientist, Systems ML - Frameworks / Compilers / Kernels (PhD) Responsibilities:

1. Research and development of SW stack with one of the following core focus areas: AI frameworks, compiler stack, high performance kernel development and acceleration onto next generation of AI Accelerators architectures.

2. Contribute to the development of the industry-leading PyTorch AI framework core compilers to support new state of the art inference and training AI hardware accelerators and optimize their performance.

3. Analyze deep learning networks, develop & implement compiler optimization algorithms.

4. Collaborating with AI research scientists to accelerate the next generation of deep learning models such as Recommendation systems, Generative AI, Computer vision, NLP etc.

5. Performance tuning and optimizations of deep learning framework & software components.

Minimum Qualifications:

Minimum Qualifications:

6. 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.

7. Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

8. Python and C/C++ programming skills.

9. Research experience in AI framework development or accelerating deep learning models on hardware architectures, demonstrated through peer-reviewed publications.

10. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

Preferred Qualifications:

11. Knowledge of GPU, CPU, or AI hardware accelerator architectures.

12. Experience working with kernel-writing frameworks like Triton, or CUDA.

13. OR AI Compiler: Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, hardware specific optimizations such as SIMD. Experience with MLIR, LLVM, IREE, XLA, TVM, Halide is a plus.

14. OR AI frameworks: Experience in developing training and inference framework components. Experience in system performance optimizations such as runtime analysis of latency, memory bandwidth, I/O access, compute utilization analysis and associated tooling development.

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 accommodations-ext@fb.com.