**Summary:**

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scalability, infrastructure costs, and enables embedded AI capabilities. Directly supporting Meta's ability to train and serve AI models for wearable products.

**Required Skills:**

Software Engineering Manager - Neural Interface 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 a track record of delivering measurable outcomes

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

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

12. Proven track record growing engineers

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

**Preferred Qualifications:**

Preferred Qualifications:

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

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

16. Experience building teams in ambiguous, exploratory domains

17. Track record of maintaining team engagement, retention, and consistent delivery outcomes

18. Experience managing AI infrastructure and capacity including GPU/CPU used for training, benchmarking and inference

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

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

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

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

23. Background in performance optimization/profiling

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

**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.