Responsibilities
- Own and extend GPU infrastructure and traditional AWS cloud infrastructure across teams.
- Partner with external infrastructure providers to ensure stability and reliability for GPU deployments and GPU availability.
- Build developer experiences and repeatable systems for setting up new services.
- Collaborate with the Backend Platform, Conversational Video Interface, and Research teams.
Requirements
- Broad experience as an infrastructure generalist.
- Experience with GPU cloud providers and building reliable systems on top of them.
- Strong AWS experience, including launching services and creating repeatable processes.
- Ability to set technical direction, own decisions, and deliver results in an ambiguous, fast-changing environment.
- Clear communication skills for explaining complex technical concepts to technical and non-technical audiences.
- Experience with GCP, video streaming infrastructure, LLMs, generative AI, EKS, or Kubernetes is helpful.
Benefits
- Flexible work schedule
- Unlimited PTO
- Healthcare benefits
- Gear stipends
Tech Stack
Categories
About Tavus
Tavus is a research lab pioneering human computing. We’re building AI humans: a new interface that closes the gap between us 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 with people. AI Humans connect and act with precision and empathy, making them capable, trusted agents. It’s the best of both worlds: the emotional intelligence of humans, with the reach and reliability of machines. They’re available 24/7, in every language, on our terms. Imagine a therapist that anyone can afford. A personal trainer that adapts to your schedule. A fleet of medical assistants that can give every patient the attention they need. Tavus: teaching machines how to be human.