AI Infrastructure Engineer

AI Breaking Wire; Menlo Park, Northern (CA, KY); Hybrid; USD 200,000 - 350,000; Full time

Benefits offered by this job

RSUs

Health benefits

Parental leave

401(k)

Job summary

Meta is seeking an AI Infrastructure Engineer to design, build, and scale compute clusters powering foundational AI models and generative features used by billions worldwide.

You will architect distributed training and inference infrastructure across thousands of accelerators, collaborating with hardware and software teams to maximize throughput and reliability. The role emphasizes monitoring, tooling, and automation in a high-scale ML environment.

Qualifications

• BS or MS in Computer Science, Computer Engineering, or related technical field.
• 3+ years of experience managing large-scale distributed systems or ML infrastructure.
• Strong programming skills in C++, Python, and shell scripting.

Responsibilities

• Architect and optimize large-scale distributed training and inference infrastructure across thousands of accelerators (GPUs/TPUs).
• Collaborate with hardware and software teams to maximize throughput, reduce latency, and improve cluster reliability.
• Develop monitoring, profiling, and debugging tools for massive ML workloads.
• Automate deployment pipelines and resource management for cutting-edge AI models.

Skills

Python

C++

Distributed systems

Education

Bachelor's or Master's in CS/CE

Tools

Kubernetes

Docker

Slurm

Job description

# AI Infrastructure EngineerMeta## Job DescriptionMeta's Infrastructure team is seeking an AI Infrastructure Engineer to design, build, and scale the compute clusters powering our foundational AI models and generative features utilized by billions of people globally.### Responsibilities- Architect and optimize large-scale distributed training and inference infrastructure across thousands of specialized accelerators (GPUs/TPUs).- Collaborate with hardware and software engineering teams to maximize throughput, reduce latency, and improve cluster reliability.- Develop monitoring, profiling, and debugging tools for massive machine learning workloads.- Automate deployment pipelines and resource management for cutting-edge AI models.### Requirements- B.S. or M.S. in Computer Science, Computer Engineering, or related technical field.- 3+ years of experience managing large-scale distributed systems or ML infrastructure.- Strong programming skills in C++, Python, and shell scripting.- Familiarity with containerization and orchestration tools like Kubernetes, Docker, and Slurm.### Benefits- Competitive base salary with annual bonus and restricted stock units (RSUs).- Comprehensive health and wellness benefits.- Generous family care and parental leave programs.- 401(k) matching and robust retirement planning support.## Skills & Tagspythonc++kubernetesdistributed-systemsinfrastructure## Job DetailsFull-timeMenlo Park, CA$200k – $350k USDPosted August 10, 2026Expires October 9, 2026