Infrastructure Engineer
relace · San Francisco
Job description
About the role
Relace is building high‑performance inference and training infrastructure for fast language models. As an Infrastructure Engineer you will design, operate, and scale the systems that power ultra‑fast model inference and training for global customers.
Key responsibilities
- Architect and manage cloud infrastructure for inference and training stacks.
- Build reliable, cost‑efficient systems for deploying and scaling ML workloads worldwide.
- Work on GPU scheduling, distributed systems, and high‑performance cloud deployments.
- Optimize compute, networking, and storage performance and cost.
Required profile
- 2+ years of experience writing high‑quality production code.
- Strong experience with cloud platforms such as AWS, GCP, or Azure.
- Familiarity with ML infrastructure and GPU workloads is a plus.
Required skills
- Cloud infrastructure (AWS, GCP, Azure)
- Production‑grade programming
- GPU scheduling and distributed systems
- Performance and cost optimization
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Published 3 days ago
Expires 1 month from now
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relace
San Francisco