Software Engineering Manager, PyTorch MTIA

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 tooling.

We are looking for an engineering manager to support MTIA software stack development for inference and training platform.Software Engineering Manager, PyTorch MTIA 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 manage a team of developers from a broad range of experiences, perspectives, approaches, and backgrounds, help them develop, help them develop their careers, assigning them to projects tailored to their skill levels, long-term skill development, personalities, and work styles
• 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 inference and/or training software stack.

Preferred Qualifications

• Experience working with deep learning frameworks such as PyTorch, TensorFlow, JAX, ONNX, MXNet, TensorRT etc
• Knowledge of deep learning models such as recommendation, ranking, LLM etc.
• Familiarity with AI hardware such as GPUs, deep learning accelerators is a plus

For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$177,000/year to $251,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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