Software Engineer, Infrastructure

Job summary

ABOUT US Tav*** is a research lab pioneering human computing. We’re building AI Humans: a new interface that closes the gap between people and machines, free from the friction of today’s systems. Our real-time human simulation models let machines see, hear, respond, and even look real—enabling meaningful, face-to-face conversations.

Qualifications

• When you see a problem, you have the trust and the mandate to fix it or flag it.
• WHO YOU ARE
• Hands-on GPU inference experience.
• You've deployed and optimized inference workloads on GPUs and know what it takes to build reliable systems on top of GPU cloud providers.
• Kubernetes and EKS depth, including routing and scheduling.
• You're comfortable designing how work gets placed across a fleet, and writing the services that make it happen.
• Deep AWS experience.
• You're at home spinning up new services and turning them into simple, repeatable processes others can build on.
• A senior track record of ownership.
• You've set technical direction, made decisions others built on, and carried ambiguous work over the finish line.
• You explain complex ideas clearly, to engineers and non-engineers alike.
• NICE TO HAVE

Responsibilities

• You'll take goals like uptime, latency, and cost and chase them wherever they lead, including into backend services and product code.
• WHAT YOU'LL OWN
• You'll join as an early senior member of a growing infra team, working on projects like tuning the newest GPU generations and cutting cold-start and model load times so users wait less.
• You'll bring on new providers and regions, stand up clusters on EKS, and build the routing, scheduling, and throughput needed for fast weight loading.
• You'll be one of the people pushing our uptime bar higher, along with the security and SOC2 work that keeps our infrastructure trustworthy.

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