Customer Success Engineer (CSE), GPU Cluster
Together AI · San Francisco
CHECKED 3H AGO
InfrastructureonsiteSenior$260k–$290k
At a glance
Highlights
- Own end-to-end health of large-scale GPU deployments for a strategic customer.
- Lead QBRs, steering meetings and executive reviews across operational levels.
- Drive capacity expansions from freight receipt through production acceptance.
What they offer
- startup equity
- health insurance
Ideal candidate
A high-ownership, customer-obsessed infrastructure generalist who thrives owning strategic relationships end-to-end. You love keeping mission-critical systems healthy and translating operational insight into better products.
Requirements
- 5+ years in customer-facing technical role, including 2+ years in TAM or solutions architecture for AI/HPC infrastructure
- Deep expertise in GPU health diagnostics, RMA workflows, and hardware acceptance testing
- Hands-on experience with large-scale Ethernet and InfiniBand fabric architecture
- Working knowledge of enterprise storage including high-density NVMe and parallel file systems
- Experience with data center operations, facilities coordination, and SLA management
- Strong ownership of incident management, RCA authorship, and executive communication
- Proficiency with infrastructure monitoring and observability tooling
- Proven ability to manage multiple concurrent workstreams with rigor
- remote policy
- Hybrid
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