Software Engineer Manager - ML Infra

Meta; Seattle (WA); On-site; USD 184,000 - 257,000; Full time

Job summary

Meta is seeking a Software Engineer Manager for ML Infra in Seattle to lead a team operating at the intersection of AI, distributed systems, and hardware. You will drive model efficiency, scale training and serving infrastructure, and guide hardware-software co-design projects.

You will set the technical vision, mentor engineers, and partner with AI Infra, Hardware, Product, and Research to deliver impact with clear roadmaps and risk management.

Qualifications

• 3+ years managing software engineering teams with high-performing track record.
• Technical background in AI/ML systems, distributed/HPC systems, or model optimization with GPUs/accelerators.
• Experience mentoring engineers and guiding career growth.
• Experience communicating strategy to cross-functional stakeholders.

Responsibilities

• Lead and develop an engineering team focused on ML Infra.
• Engage in design reviews, architecture decisions, and technical trade-offs.
• Define technical vision with Tech Leads and drive execution across hardware-software co-design.
• Collaborate with AI Infra, Hardware Engineering, Product, and Research to align on strategy.
• Manage roadmaps, timelines, and risk mitigation to deliver impact.

Skills

Team leadership

AI/ML systems

Distributed/HPC systems

Model optimization with GPUs/acceler.

Mentorship & career growth

Education

M.S. or Ph.D. in CS/EE or related field

Tools

PyTorch

TensorFlow

Job description

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 teamprovide coaching, mentorship, and performance managementTechnical Leadership: Engage in design reviews, architecture decisions, and technical trade-offsdefine technical vision with Tech LeadsExecution: Drive complex hardware-software co-design projects to completionmanage roadmaps, timelines, and risk mitigationCross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Researchrepresent the team to leadershipMinimum Qualifications:3+ years managing software engineering teams with high-performing team track recordTechnical background in at least two of: AI/ML systems, distributed/HPC systems, or model optimization with GPUs/acceleratorsDemonstrated ability to engage deep in technical work and guide decisionsExperience supporting engineer development through mentorship, technical guidance, and career growth planningExperience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentationsPreferred 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 technologiesDemonstrated 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 fieldFamiliarity with AI compilers, high-performance kernel development, or hardware enablementExperience building teams in ambiguous, exploratory domainsBackground in performance optimization/profilingPrior Tech Lead, TLM, or IC experience before managementExperience with PyTorch, TensorFlow, or equivalent AI frameworksTrack record of maintaining team engagement through regular feedback, clear goal-setting, and retention-focused practices, with consistent delivery outcomesAbout 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 [e-mail].$184,000/year to $257,000/year + bonus + equity + benefitsIndividual 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.