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# Software Engineer Manager - ML Infra

- **Company:** Facebook Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Artificial Intelligence, Computer Engineering, Distributed Systems, Linux Kernel, Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Machine Learning Operations
- **Published:** August 14, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/27930496/Software-Engineer-Manager-Ml-Infra-New-York-New-York-7418

## About the Role

* 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

## 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 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


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