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.
Software Engineer Manager - ML Infra Responsibilities:
- People Leadership: Build/retain an engineering team
- provide coaching, mentorship, and performance management
- Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs
- define technical vision with Tech Leads
- Execution: Drive complex hardware-software co-design projects to completion
- manage roadmaps, timelines, and risk mitigation
- Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research
- represent the team to leadership
Minimum Qualifications:
- 3+ years managing software engineering teams with high-performing team track record
- Technical background in at least two of: AI/ML systems, distributed/HPC systems, or model optimization with GPUs/accelerators
- Demonstrated ability to engage deep in technical work and guide decisions
- Experience supporting engineer development through mentorship, technical guidance, and career growth planning
- Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations
Preferred Qualifications:
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- M.S. or Ph.D. in CS, EE, or related field
- Familiarity with AI compilers, high-performance kernel development, or hardware enablement
- Experience building teams in ambiguous, exploratory domains
- Background in performance optimization/profiling
- Prior Tech Lead, TLM, or IC experience before management
- Experience with PyTorch, TensorFlow, or equivalent AI frameworks
- Track record of maintaining team engagement through regular feedback, clear goal-setting, and retention-focused practices, with consistent delivery outcomes
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@meta.com.
$184,000/year to $257,000/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.