Senior Software Engineer (Infrastructure) at Tavus

Senior Software Engineer (Infrastructure)

Company Description: Tavus – Series B AI video platform backed by Sequoia and CRV

Job Description

Join Tavus to build the infrastructure powering real-time conversational AI video. You will own and scale GPU deployments across multiple cloud providers while maintaining a robust AWS backbone. As a cross‑functional driver, you’ll bridge the gap between research and production, ensuring 100,000+ developers can deploy emotionally intelligent AI humans globally.

Why this role is remarkable

• Work at the bleeding edge of generative AI with a team featuring experts from NVIDIA and world‑class research scientists in affective computing.
• Scale complex GPU workloads for a platform that recently raised $40M in Series B funding led by CRV, with participation from Sequoia and Y Combinator.
• Impact the entire engineering org by building elite developer experiences and defining how real‑time video generation scales globally across 30+ languages.

What you will do

• Own and extend GPU infrastructure by partnering with specialized providers like CoreWeave, Cerebrium, and Baseten to ensure high availability for model deployments.
• Architect and maintain a reliable AWS/EKS backbone, building repeatable processes and internal tooling that empower backend and research teams to ship faster.
• Drive technical direction for infrastructure strategy, managing the transition of AI video generation from experimental novelty to mission‑critical production systems.

The ideal candidate

• Proven experience managing GPU cloud infrastructure at scale, either within an AI‑native startup or at a specialized GPU cloud provider.
• Deep technical expertise in the AWS ecosystem and production Kubernetes (EKS), with a scrappy mindset for building simple, scalable, and automated systems.
• Exceptional communication skills to translate complex infrastructure requirements into actionable plans for research scientists, backend engineers, and external partners.

Required skills: AWS, Kubernetes

Required languages: English

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