Senior SRE, AI Infrastructure & GPU Fleet Reliability

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 297,500 - 402,500; Full time

Benefits offered by this job

Huge stock options

Company bonus

Unlimited PTO

401K + 4% match

Job summary

Hamilton Barnes Associates Limited is seeking a Staff Site Reliability Engineer to lead reliability across large-scale GPU infrastructure used for AI training and inference. You will drive incident response, performance tuning, and platform health, collaborating with cross-functional teams to scale operations.

The role emphasizes hands-on GPU hardware/software expertise, Kubernetes for GPU clusters, and strong programming in Go, Python, or Rust.

Qualifications

• Hands-on experience operating large-scale GPU infrastructure environments.
• Staff-level SRE or infrastructure engineering experience supporting mission-critical production systems.
• Deep expertise with NVIDIA GPU platforms including H100, H200, B200, or GB200 systems.
• Strong software engineering skills in Go, Python, or Rust.

Responsibilities

• Lead high-priority incident response across distributed GPU infrastructure environments.
• Diagnose and resolve issues across the stack including PyTorch, NCCL, CUDA, drivers, networking fabrics, and hardware layers.
• Own day-to-day operational health of large-scale GPU fleets including lifecycle management and firmware upgrades.
• Build and maintain observability systems, GPU telemetry platforms, automation tooling, and health-check frameworks.
• Partner with infrastructure, product, and platform engineering teams to improve reliability and scalability.
• Mentor engineers across reliability engineering and incident management practices.
• Contribute to a long-term reliability strategy for hyperscale AI infrastructure.

Skills

GPU infra ops

Staff-level SRE

NVIDIA GPUs

CUDA/NCCL

Go

Python

Rust

Kubernetes

HPC schedulers

Linux systems

Incident response

Tools

Observability tooling

Job description

Hamilton Barnes Associates Limited is seeking a Staff Site Reliability Engineer to lead reliability across large-scale GPU infrastructure used for AI training and inference. You will drive incident response, performance tuning, and platform health, collaborating with cross-functional teams to scale operations.

The role emphasizes hands-on GPU hardware/software expertise, Kubernetes for GPU clusters, and strong programming in Go, Python, or Rust.