ML Compiler and Performance Engineer

**Summary:**

Meta's Training and Inference Accelerators (MTIA) team is developing novel HW to enable efficient execution of AI training and inference workloads. In this role, you will have end-to-end responsibility for the performance of in-production AI models in their transition from stock HW to MTIA chips, with a focus on models that require multi-node compute.To learn more about MTIA, explore the links below:- https://ai.meta.com/blog/meta-training-inference-accelerator-AI-MTIA/- https://ai.meta.com/blog/next-generation-meta-training-inference-acceler... https://dl.acm.org/doi/full/10.1145/3695053.3731409

**Required Skills:**

ML Compiler and Performance Engineer Responsibilities:

1. Identifying bottlenecks and quantifying opportunities for improving performance

2. In-depth, end-to-end performance analysis and reporting

3. Developing optimizations to address identified bottlenecks

4. Optimizing compute/communication overlap

5. Work closely with other compiler teams as well as client teams (Recommendation Systems, Generative AI, etc)

**Minimum Qualifications:**

Minimum Qualifications:

6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

7. Experience developing and deploying optimizations at the level of PyTorch/Aten or comparable stacks

**Preferred Qualifications:**

Preferred Qualifications:

8. A Masters degree and 4+ years in-domain experience

9. A PhD degree and 2+ years in-domain experience

10. Experience optimizing multi-node distributed compute

11. Experience optimizing runtimes and/or kernels for accelerator platforms

**Public Compensation:**

$74.04/hour to $217,000/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@meta.com.