Software Engineer Manager - AI Efficiency

Meta•Bellevue, WA

4h•$184,000 - $257,000

About The Position

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.

Requirements

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

Nice To Haves

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

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