Site Reliability Engineer — GPU Infrastructure

Genmo • San Francisco, CA

1d

About The Position

We are Genmo, a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI. Join us in shaping the future of AI and pushing the boundaries of what's possible in video generation. This is a contract-to-hire position.

Requirements

• BS/MS/PhD in CS, EE, or related field.
• 3+ yrs SRE/DevOps in production; 2+ yrs managing large Kubernetes fleets.
• Expert‑level Kubernetes experience.
• Hands‑on with containerized GPU stacks (nvidia‑container‑toolkit, GPU Operator)
• GPU schedulers such as Slurm or Kueue.
• Proficient in Python and Bash and IaC tools (Terraform, Helm, Ansible).
• Track record of shipping and operating large‑scale infrastructure with high reliability and clear communication.

Nice To Haves

• Multi‑cluster / multi‑cloud (AWS, GCP, Azure, bare‑metal) production experience.
• Familiarity with CI/CD tooling (GitHub Actions, BuildKit).
• Prior work with distributed training, model‑serving patterns, or other ML/GPU workloads.
• Machine‑learning depth is a plus—not a prerequisite. We’ll help you level up if needed.

Responsibilities

• Own the design and day‑to‑day operation of GPU clusters that train and serve frontier generative models.
• Lead production Kubernetes operations: GPU scheduling, cluster upgrades, multi‑cluster federation.
• Define and implement Infrastructure‑as‑Code (Terraform, Helm, Ansible) and GitOps workflows with Argo CD or Flux.
• Build CI/CD pipelines, automated testing, and rollout strategies for infra changes.
• Develop an observability stack (Prometheus, Grafana, OpenTelemetry, eBPF) plus GPU telemetry with NVIDIA DCGM.
• Optimize high‑performance networking (InfiniBand/RDMA) and debug perf bottlenecks.
• Run and continuously improve the 24×7 on‑call rotation; lead post‑incident reviews.
• Partner with researchers and engineers, communicate crisply, and ship with a high‑ownership mindset.

What This Job Offers

• Career Level: Mid Level
• Number of Employees: 11-50 employees