Engineering Manager, Kubernetes Bare Metal Infrastructure
Together AI · San Francisco
Infrastructureonsitemanager$300k–$350k
At a glance
Highlights
- Lead the platform running thousands of GPUs across multiple data centers.
- Own reliability and speed from racked hardware to customer-ready capacity.
- Power every training run and inference endpoint on the AI cloud.
What they offer
- startup equity
- health insurance
Ideal candidate
Infrastructure leader who thrives owning large-scale production systems and growing engineers. You care about automation, reliability, and turning hardware into fast, dependable capacity for AI workloads.
Requirements
- 8+ years in infrastructure, SRE or platform engineering, including 2+ years managing engineers
- Hands-on experience running Kubernetes in production at scale, ideally on bare metal
- Solid grounding in Linux systems, networking and hardware including PXE boot and out-of-band management
- Experience building automation for fleet provisioning and lifecycle
- Track record owning production systems with on-call, SLOs and incident response
- Strong technical judgment and clear communication with engineers and leadership
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
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