Senior Site Reliability Engineer — GPU Infrastructure at Genmo

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

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
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

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

Skills

Kubernetes

Terraform

Helm

Ansible

Python

Bash

Prometheus

Grafana

OpenTelemetry

eBPF

NVIDIA DCGM

InfiniBand

RDMA

Argo CD

Flux

Slurm

Kueue

AWS

GCP

Azure

Genmo

AI tools for multimedia content creation

About Genmo

Genmo.ai specializes in providing AI tools for generating and editing multimedia content, including images, videos, and presentations. Users can upload images and animate specific parts, like transforming a static sky into a timelapse, or create entire movies by refining ideas, generating scenes, and selecting transitions. The platform caters to both individual content creators and businesses, operating on a subscription model with various service tiers. Genmo.ai differentiates itself by continuously enhancing its technology and focusing on user intent, ensuring that clients have powerful tools to realize their creative projects.

San Francisco, CaliforniaHeadquarters

N/AYear Founded

$29.2MTotal Funding

EARLY_VCCompany Stage

Consumer Software, AI & Machine LearningIndustries

1-10Employees

Risks

Server crashes during Mochi-1 launch could harm customer trust and satisfaction.

Open-source nature of Mochi-1 may lead to increased competition from developers.

Major tech players entering generative AI market could overshadow Genmo's offerings.

Differentiation

Genmo.ai offers unique AI tools for animating images and generating entire movies.

The platform supports both B2B and B2C models, catering to diverse client needs.

Genmo.ai's subscription model provides flexible access to advanced multimedia editing features.

Upsides

Launch of Mochi-1 model positions Genmo as a competitor to industry leaders.

Rising demand for AI-driven video editing boosts Genmo's market potential.

Subscription-based revenue model ensures steady income and opportunities for upselling.

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