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Software Engineering Manager, PyTorch MTIA Frameworks

AT Meta
Meta

Software Engineering Manager, PyTorch MTIA Frameworks

New York, NY

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 Frameworks Responsibilities:

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  • 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 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
  • 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
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.

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.

$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.

Client-provided location(s): New York, NY, USA
Job ID: a1KDp00000E2HFUMA3_1002
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Founder led

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