Summary:

The MTIA (Meta Training & Inference Accelerator) Software team has been developing a comprehensive AI Compiler strategy and optimizing compiler toolchains. This enables training and inference of Meta’s production DL/ML workloads on the specialized MTIA AI accelerator hardware in a highly performant and flexible way.We are looking for a Software Engineering Manager who drives the compiler stack development & high performance compilers optimizations and tuning, specific to the MTIA AI accelerator hardware.

Required Skills:

Software Engineering Manager, AI Compiler Responsibilities:

1. Grow a team of domain experts within AI Compiler.

2. Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.

3. Operate strategically and tactically. Develop vision, strategy and help set direction for the team.

4. Remain up-to-date on ongoing software development activities in the team, help work through technical challenges, and be involved in design decisions.

Minimum Qualifications:

Minimum Qualifications:

5. Experience with compiler architecture and development, particularly ML compilers or DSLs or static/dynamic languages compilers.

6. 2+ years of experience in managing a team of compiler engineers of varied skill levels.

7. Experience with cross functional collaboration with hardware or AI framework teams.

8. Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management.

Preferred Qualifications:

Preferred Qualifications:

9. Experience with compiler optimizations such as loop optimizations, vectorization, parallelization, HW architecture specific optimizations.

10. Experience in compiling and code generation targeting ML accelerators or custom hardware, GPUs or CPUs.

11. Experience with different programming models for high-performance computations, e.g. GPU CUDA programming or OpenCL or OpenMP programming.

12. Experience with MLIR, or LLVM or IREE or XLA or Triton or TVM or Halide.

13. Knowledge of ML frameworks like PyTorch, TensorFlow, ONNX, MXNet, etc.

Public Compensation:

$177,000/year to $251,000/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.