Software Engineering Manager, PyTorch MTIA Frameworks

Summary:

The MTIA (Meta Training & Inference Accelerator) Software team is part of AI Infra PyTorch org. The team's mission is to explore, develop and help productize high-performance software and hardware technologies for AI at datacenter scale. Team has been developing AI frameworks to accelerate Meta's DL/ML workloads on the specialized MTIA AI accelerator hardware. As part of the AI acceleration software stack, we develop Pytorch compiler frontend for MTIA, Pytorch runtime for inference & training, high performance kernel libraries exploiting various hardware architectural features and ~~~ are looking for an engineering manager to support MTIA software stack development for inference and training platform.

Required Skills:

Software Engineering Manager, PyTorch MTIA Frameworks Responsibilities:

1. Manage team of domain experts developing AI acceleration software stack for MTIA

2. Operate strategically and tactically. Develop the vision and strategy to help set direction for the team, while managing day-to-day software development.

3. Communicate and collaborate effectively with peer engineering teams.

4. Manage a diverse team of developers, help them develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, personalities, and work styles

5. Work closely with dedicated recruiting staff to expand the team, including sourcing candidates, interviewing candidates, participating in conferences/events, and on-boarding new employees

Minimum Qualifications:

Minimum Qualifications

1. At least 2 years of experience in managing a software team in a fast-paced capacity.

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

3. Experience developing AI inference and/or training software stack.

Preferred Qualifications:

Preferred Qualifications

1. Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, ONNX, MXNet, TensorRT etc

2. Knowledge of deep learning models such as recommendation, ranking, LLM etc.

3. Familiarity with AI hardware such as GPUs, deep learning accelerators is a plus

Public Compensation:

$error/year to $error/year + bonus + equity + benefits We apologize for the inconvenience, please be patient as we work to correct the issue.

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 ~~~.