Technical Support Engineer (GPU Clusters) - US Weekends
Together AI · Remote · San Francisco
Infrastructureremote$160k–$230k
At a glance
Highlights
- Support customers building training, fine-tuning and inference solutions.
- Act as customer-facing SRE ensuring enterprise GPU clusters stay healthy.
- Turn customer insights into action to help shape the product roadmap.
What they offer
- Startup equity
- Health insurance
- Remote work flexibility
Ideal candidate
Deeply technical, customer-obsessed problem-solver passionate about AI and customer success. You thrive in fast-paced environments, take ownership, and enjoy collaborating across teams to resolve complex challenges.
Requirements
- 3+ years in customer-facing technical role with 1+ year supporting AI service or mission-critical SaaS API
- Experience as an SRE or DevOps engineer working with Kubernetes
- Knowledge of AI, ML, GPU technologies and HPC environments
- Advanced knowledge of infrastructure services, IaC, networking, storage and scripting
- Experience with HPC/Slurm clusters including node draining and job scheduling
- Familiarity with InfiniBand, RDMA and network diagnostics
- Experience with distributed storage and troubleshooting I/O issues
- Excellent communication skills and cross-functional collaboration
- remote policy
- Flexibility in terms of remote work
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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