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Site Reliability Engineer — GPU Infrastructure
Site Reliability Engineer — GPU InfrastructureGenmo • San Francisco, CA, United States
Site Reliability Engineer — GPU Infrastructure

Site Reliability Engineer — GPU Infrastructure

Genmo • San Francisco, CA, United States
[job_card.30_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Site Reliability Engineer — GPU Infrastructure

Join Genmo, a research lab dedicated to building open, state‑of‑the‑art models for video generation. We are looking for a Site Reliability Engineer to build and operate GPU infrastructure that powers our generative models.

This is a contract‑to‑hire position.

What You’ll Do

  • Own 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 performance 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.

Minimum Qualifications

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

  • 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.

    Genmo is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law. Genmo, Inc. is an E‑Verify company and you may review the Notice of E‑Verify Participation and the Right to Work posters in English and Spanish.

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