Senior AI Storage & HPC Infrastructure Engineer (Remote)

Togetherai; San Francisco (CA); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Competitive salary

Startup equity

Health insurance

Remote work flexibility

Job summary

Togetherai in San Francisco is looking for a Storage Engineer to design and optimize multi-petabyte storage systems specifically for high-performance AI workloads. The role involves coding Kubernetes operators, managing distributed storage, and implementing cutting-edge technologies.

The ideal candidate has over 8 years of experience in storage engineering and strong skills in Go and Python. A competitive salary combined with benefits and equity is offered.

Qualifications

• 8+ years in storage engineering, managing multi-petabyte distributed storage.
• Proven track record deploying high-performance storage for GPU clusters.
• Strong coding skills in Go and Python for production-grade systems.

Responsibilities

• Architect technical strategy for storage systems at Together AI.
• Engineer multi-petabyte AI/ML storage systems using Vast, Weka, and Ceph.
• Code Kubernetes storage operators and controllers.

Skills

Storage engineering

Kubernetes

Go

Python

Distributed storage systems

Object storage

Education

BS/MS in Computer Science or Engineering

Tools

Terraform

Ansible

Grafana

Job description

Togetherai in San Francisco is looking for a Storage Engineer to design and optimize multi-petabyte storage systems specifically for high-performance AI workloads. The role involves coding Kubernetes operators, managing distributed storage, and implementing cutting-edge technologies.

The ideal candidate has over 8 years of experience in storage engineering and strong skills in Go and Python. A competitive salary combined with benefits and equity is offered.