AI Infrastructure Systems Engineer
Together AI · San Francisco
CHECKED 3H AGO
Infrastructureonsite$190k–$270k
At a glance
Highlights
- Build and operate one of the world's largest GPU fleets for training and inference.
- Build AI agents to automate deployment, triage, and autonomous remediation.
- Develop fleet intelligence to predict hardware failures before they impact customers.
What they offer
- Startup equity
- Health insurance
- Competitive benefits
Ideal candidate
Automation-obsessed software engineer who loves building autonomous systems at massive scale and eliminating manual operations to push AI infrastructure limits.
Requirements
- 3+ years building distributed systems, infrastructure platforms, or large-scale backend software
- Strong software engineering skills in Python, Go, or Rust
- Experience building platforms, automation systems, or developer infrastructure
- Experience with Linux, Kubernetes, Terraform, Ansible, or similar infrastructure technologies
- Strong systems thinking across hardware and software
- Passion for solving complex infrastructure challenges through software
- Automation-first mindset
Lab profile
About Together AI
AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.
What they build
- AI-native cloud platform
- GPU clusters for training and inference
- Platform for AI applications and agents
Known for
- Operating large-scale GPU fleets
- Automated infrastructure at massive scale
- Multi-site data center deployment
Key facts
- Over 1M developers
- Operates one of the world's largest GPU fleets
- Infrastructure managing tens of thousands of GPUs