(Senior/Junior AI Inference Reliability Engineer, Compute Infra
USD 160,000–280,000 / year
- Company
- Together AI
- Location
- San Francisco
- Work mode
- Office location (mode not stated)
- Open to applicants from
- On-site/hybrid: local candidates
- Level
- Junior
- Employment
- Not stated
- Field
- Data & AI / Machine learning & AI
- Stated pay
- USD 160,000–280,000 / year
- Posted
- 2026-10-27 (19 days ago)
- Visa sponsorship mentioned
- Not mentioned
- Listing source
- Greenhouse
KubernetesSalesforceMachine learning AI / ML engineering & research
About the role
About the Role We're looking for a software engineer, reliability-minded but still a builder, to own what happens in production to the Kubernetes-native control plane that provisions and runs our GPU inference fleet. The platform team builds the manifest-driven API and controllers that let the inference team declare what they need, a cluster, a model deployment, a capacity change, and get it reconciled underneath. Your job is to keep that promise true in the real world: triaging InfiniBand issues when prefill and decode nodes stall exchanging KV cache over RDMA, diagnosing hero-model and LoRA-serving faults that don't show up in generic health checks, and extending the automated…
Excerpt only. Read the full description and apply at the original posting on Greenhouse. We list jobs from public job-board feeds and do not alter employer content beyond this excerpt.
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