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Summary:

Meta is seeking a highly motivated and experienced Software Engineering Manager to join our team. As an engineering manager you will support, enable and empower your team, managing high performing engineers to make a meaningful impact on billions of people around the world. Software Engineering Managers are clearly characterized by progressive technical experience and demonstrated progression in management responsibility.

Required Skills:

ML Tooling & Dev, Software Engineering Manager Responsibilities:

1. Lead and manage a team of software engineers to deliver high-quality products and solutions

2. Collaborate with cross-functional teams to drive technical innovation

3. Develop and implement technical strategies to achieve business objectives

4. Foster an environment of continuous learning, growth, and improvement

Minimum Qualifications:

Minimum Qualifications:

5. 8+ years of, or PhD + 4 years of software engineering work experience, including hands on technical management

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

7. Bachelor of Science/Masters in Computer Science or equivalent practical experience

8. Experience supporting, coaching, mentoring, and developing software engineers

9. 2+ years of experience in managing a team of engineers with varied skill levels

Preferred Qualifications:

Preferred Qualifications:

10. Experience leading teams in ML tooling and dev/prod infrastructure (profilers, debuggers, sanitizers, fuzzers, benchmarking, regression detection, testing, CI, SW/HW co-design)

11. High engineering standards and demonstrated experience deploying robust, scalable, and reliable infrastructure systems in production

12. Experience in hardware-software bring-up development environments (simulators, FPGA emulators)

13. Experience with high-performance computation programming models (e.g., GPU CUDA, OpenCL, OpenMP, NCCL, RCCL)

14. Knowledge of ML frameworks (PyTorch, TensorFlow, ONNX, MXNet)

15. Experience with and basic understanding of hardware architectures (Intel SIMD, GPU, RISC-V, AI Accelerators)

16. Proven experience launching and operating large-scale infrastructure services and projects

17. Expertise in deployment, release management, and automation, ensuring smooth and reliable rollouts

18. Experience implementing monitoring, alerting, and incident response for high availability and performance

19. Experience integrating new and existing services with core infrastructure components (networking, storage, authentication, logging, monitoring)

20. Communication skills for engaging with a broad developer community and XFN partners

21. Experience and knowledge in ML model production (deployment, CI/CD, monitoring) and operationalizing ML models at scale

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 [email protected].