Software Engineer Manager - AI Efficiency

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 experience to train and serve AI models at scale.

Responsibilities

People Leadership: Build/retain a 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 the leadership

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 Proven track record growing engineers Strong communication and influence skills Prior Tech Lead, TLM, or IC experience before management Experience with PyTorch, TensorFlow, or equivalent AI frameworks Familiarity with AI compilers, high-performance kernel development, or hardware enablement Background in performance optimization/profiling Experience building teams in ambiguous, exploratory domains Track record of high team health + high delivery M.S. or Ph.D. in CS, EE, or related field

Compensation: $184,000/year to $257,000/year + bonus + equity + benefits