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.
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
Role overview
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.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
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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.