Software Engineering Manager, MTIA

Mtia Software Engineering Manager

The MTIA (Meta Training & Inference Accelerator) Software team is part of AI and Compute Foundation organization. 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 Deep Learning and Machine Learning 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 runtime and kernel libraries exploiting various hardware architectural features and tooling.

We are looking for an engineering manager to support MTIA software stack development for training and inference platform.

Responsibilities:

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

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

Communicate and collaborate effectively with peer engineering teams

Manage a team of developers from a broad range of experiences, perspectives, approaches, and backgrounds, help them develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, personalities, and work styles and resolving conflicts

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:

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

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

Experience developing AI training and/or inference software stack

Preferred Qualifications:

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

Knowledge of training deep learning models such as recommendation, ranking, LLM, computer vision, etc

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

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.