Senior ML Infra Engineer - Low-Latency GPU Platform

Odyssey; Zürich; Vor Ort; CHF 120.000 - 170.000; Vollzeit

Zusammenfassung

Odyssey is seeking an engineer to build and operate the compute and infrastructure that powers its world models. You will design scalable, low-latency inference platforms, GPU-based training clusters, and data pipelines, while focusing on performance and reliability.

You will work with researchers and product teams to enable fast experimentation and deployment, emphasizing developer-friendly tooling and efficient resource use.

Qualifikationen

• Proven experience with large-scale distributed GPU workloads.
• Strong Python/Go programming and software engineering practices.
• Hands-on with Docker, Kubernetes and Terraform.
• Collaborative mindset and ability to work with researchers and product teams.

Aufgaben

• Develop and operate a low-latency model inference platform.
• Scale core data processing infra (Flyte, Ray, Kubernetes) for petabyte-scale datasets.
• Build and maintain large-scale GPU-based training clusters for DL, prioritizing usability and reliability.
• Automate infrastructure provisioning, configuration, monitoring, and alerts using IaC.
• Drive performance tuning, cost optimization, and reliability improvements across the stack.
• Collaborate with researchers and product developers to optimize workflows and platform usability.

Kenntnisse

Python

Go

Distributed systems

IaC

Performance tuning

Collaboration

Tools

Docker

Kubernetes

Terraform

Flyte

Ray

Jobbeschreibung

Odyssey is seeking an engineer to build and operate the compute and infrastructure that powers its world models. You will design scalable, low-latency inference platforms, GPU-based training clusters, and data pipelines, while focusing on performance and reliability.

You will work with researchers and product teams to enable fast experimentation and deployment, emphasizing developer-friendly tooling and efficient resource use.