At a Glance
- Tasks: Build and scale GPU infrastructure for real-time AI video applications.
- Company: Join Tavus, a cutting-edge AI video platform backed by top investors.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with significant impact on global AI deployment.
- Why this job: Work with experts from NVIDIA and shape the future of generative AI.
- Qualifications: Experience in managing GPU cloud infrastructure and AWS expertise required.
The predicted salary is between 70000 - 90000 £ per year.
Company Description: Tavus - Series B AI video platform backed by Sequoia and CRV.
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
Senior Software Engineer (Infrastructure) at Tavus employer: Jack & Jill
Tavus is an exceptional employer that offers a dynamic work environment at the forefront of generative AI technology. With a strong focus on employee growth, Tavus provides opportunities to collaborate with industry experts and contribute to groundbreaking projects that impact developers worldwide. The company's commitment to innovation, coupled with its supportive culture and competitive benefits, makes it an ideal place for talented individuals seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Infrastructure) at Tavus
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Tavus on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a GitHub or portfolio showcasing your work with GPU infrastructure or AWS, make sure to highlight it during interviews. It’s a great way to demonstrate your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AWS and Kubernetes knowledge. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Software Engineer (Infrastructure) at Tavus
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Software Engineer role at Tavus. Highlight your experience with GPU infrastructure and AWS, and don’t forget to mention any relevant projects that showcase your skills in real-time AI video generation.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working at Tavus and how your background aligns with their mission. Be sure to mention your experience with Kubernetes and how you can contribute to building robust systems.
Showcase Your Communication Skills:Since exceptional communication is key for this role, make sure your application reflects that. Use clear and concise language, and if possible, include examples of how you've successfully collaborated with cross-functional teams in the past.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status directly. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AWS and Kubernetes. Be ready to discuss your past experiences managing GPU cloud infrastructure and how you've tackled challenges in scaling systems. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've approached complex technical problems in the past. Tavus is looking for someone who can drive technical direction, so think of scenarios where you've successfully transitioned projects from experimental to production-ready.
✨Communicate Clearly and Effectively
Since you'll be bridging gaps between teams, practice explaining technical concepts in simple terms. This will demonstrate your exceptional communication skills and show that you can work well with both research scientists and backend engineers.
✨Research Tavus and Its Vision
Familiarise yourself with Tavus's mission and recent developments in generative AI. Understanding their goals and how your role fits into the bigger picture will help you articulate why you're a great fit for the team and how you can contribute to their success.
