**Summary:**

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scale, infrastructure costs, and enables next-generation AI capabilities. Directly supporting Meta's ability to train and serve AI models at scale.

**Required Skills:**

Software Engineer Manager - ML Infra Responsibilities:

1. People Leadership: Build/retain an engineering team

2. provide coaching, mentorship, and performance management

3. Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs

4. define technical vision with Tech Leads

5. Execution: Drive complex hardware-software co-design projects to completion

6. manage roadmaps, timelines, and risk mitigation

7. Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research

8. represent the team to leadership

**Minimum Qualifications:**

Minimum Qualifications:

9. 3+ years managing software engineering teams with high-performing team track record

10. Technical background in at least two of: AI/ML systems, distributed/HPC systems, or model optimization with GPUs/accelerators

11. Demonstrated ability to engage deep in technical work and guide decisions

12. Experience supporting engineer development through mentorship, technical guidance, and career growth planning

13. Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations

**Preferred Qualifications:**

Preferred Qualifications:

14. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

15. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

16. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

17. M.S. or Ph.D. in CS, EE, or related field

18. Familiarity with AI compilers, high-performance kernel development, or hardware enablement

19. Experience building teams in ambiguous, exploratory domains

20. Background in performance optimization/profiling

21. Prior Tech Lead, TLM, or IC experience before management

22. Experience with PyTorch, TensorFlow, or equivalent AI frameworks

23. Track record of maintaining team engagement through regular feedback, clear goal-setting, and retention-focused practices, with consistent delivery outcomes

**Public Compensation:**

$184,000/year to $257,000/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@meta.com.