Senior Software Engineer at Tavus

Senior Software Engineer at Tavus | Engineering jobs | Jack & Jill

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Senior Software Engineer at Tavus

You will be responsible for building the compute foundation for real-time multimodal AI agents that converse like humans. This high-impact role involves scaling massive Kubernetes clusters and managing GPU workloads across providers like AWS and CoreWeave to ensure low-latency performance. Join a world-class team of 50 engineers in San Francisco, London, or New York to solve the hardest infrastructure challenges in the generative AI space today.

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Location

San Francisco, United States / Remote

Compensation

Not Disclosed

Company

Tavus

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Tavus

San Francisco, United States / Remote

• Not Disclosed

Talk to Jack

Role overview

You will own the end-to-end GPU and cloud infrastructure powering real-time AI agents. By provisioning clusters, managing Kubernetes environments, and optimizing inference workloads, you ensure the reliability and scalability of Tavus’s core compute foundation. This is a high-impact, hands-on role working at the intersection of machine learning, real-time video, and distributed systems.

Tavus

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Tavus is a $64M Series B AI research lab backed by Sequoia, CRV, and YC, pioneering real-time multimodal AI agents. Based in San Francisco with a team of 50, Tavus builds “AI Humans” that see, hear, and converse, requiring cutting-edge GPU infrastructure to power low-latency video and audio inference at scale.

What you will do

• Architect and scale GPU infrastructure across cloud providers like AWS, CoreWeave, and Lambda Labs to support training and real-time inference.
• Design and maintain production-grade Kubernetes (EKS) clusters, ensuring high availability, uptime, and efficient resource orchestration for model serving.
• Collaborate cross-functionally with research and product teams to optimize developer experience and internal platforms for deploying cutting-edge ML models.

Who this is a fit for

• Extensive hands-on experience operating and provisioning GPU clusters in production environments, moving beyond simple resource consumption to infrastructure ownership.
• Deep proficiency in Kubernetes and AWS ecosystems, with a track record of scaling distributed systems and managing multi-cloud or hybrid GPU strategies.
• A startup-ready mindset focused on ownership and reliability, ideally with experience in AI-native environments or high-performance machine learning infrastructure.

Why this role is remarkable

• Work at a Sequoia and CRV-backed Series B startup with $64M in funding, tackling the most complex compute challenges in generative video AI.
• Own the mission-critical GPU infrastructure that serves as the foundation for real-time multimodal AI agents used by enterprise customers.
• Join a high-caliber engineering team of 50 where you have high autonomy to build and scale infrastructure from scratch.

How Jack & Jill work together

I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

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Jill is the AI recruiter working for the company. She recruits from Jack’s network.

If your profile’s a match and Tavus wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.

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