Drimva

Odyssey

Member of Technical Staff, Infrastructure Engineer

Palo Alto +2 · Staff · Full-time · Posted Aug 20, 2026

Location
Palo Alto
Zurich
London

About the job

Build and operate infrastructure for Odyssey’s world-model research, including low-latency inference, large-scale data processing, and GPU training.

What you'll do

  • Develop and operate a scalable, highly available model inference platform.
  • Build data-processing infrastructure and large-scale GPU training clusters.
  • Automate and improve infrastructure provisioning, performance, cost, reliability, and usability.

What they ask for

  • Strong programming skills in Python, Go, or similar, and software engineering best practices.
  • Hands-on experience with Docker, Kubernetes, and Terraform.
  • Experience building and managing large-scale distributed systems with GPU workloads.
  • Experience designing ML infrastructure where performance, parallelism, and data movement are critical.

Tools

Python, Go, Docker, Kubernetes, Terraform, Flyte, Ray

AI focus

Supports training and low-latency inference for Odyssey’s world models.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)