DevOps Engineer (MLOps / GPU Infrastructure) at Cognistack | Torre
DevOps Engineer (MLOps / GPU Infrastructure)
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Cognistack

DevOps Engineer (MLOps / GPU Infrastructure)

Cognistack
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Emma
Emma
You'll architect high-performance GPU infrastructure, powering AI that processes billions of enterprise documents.
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Full-time

Legal agreement: Employment

Compensation
USD150k - 220k/year
Negotiable
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SFO (SFO), San Francisco, CA, USA
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Posted 20 days ago

Requirements and responsibilities

🚀 Hiring: DevOps Engineer (MLOps / GPU Infrastructure) StartupStack by COGNISTACK is hiring on behalf of a fast-growing AI infrastructure company building production-grade document intelligence systems processing billions of enterprise documents. 📍 San Francisco, CA (5 Days Onsite) 💰 Salary: $150K – $220K 🛂 Visa Transfers Supported 👥 Hiring: 2 Engineers 💻 What We’re Looking For: • 4+ years in DevOps, MLOps, LLMOps, or Platform Engineering • Experience deploying GPU/ML inference infrastructure (H100/A100, multi-GPU serving) • Strong Kubernetes & container orchestration experience • Experience with AWS/GCP/Azure • Familiarity with vLLM, sglang, Triton, or inference serving systems 🏆 Ideal Background: • AI/ML infrastructure at scale • Enterprise or regulated environments • High-performance inference systems 🚫 Not Looking For: • Pure SRE backgrounds without ML/GPU serving experience • Cloud-only infrastructure engineers
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