At a Glance
- Tasks: Build and scale GPU infrastructure for real-time AI video.
- Company: Join Tavus, a cutting-edge AI video platform backed by top investors.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Work with experts from NVIDIA and impact global AI deployment.
- Qualifications: Experience in managing GPU cloud infrastructure and AWS expertise required.
The predicted salary is between 70000 - 90000 £ per year.
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 AI Infrastructure Engineer (GPU & AWS) employer: Jack & Jill
At Tavus, we pride ourselves on being at the forefront of generative AI technology, offering a dynamic work environment that fosters innovation and collaboration. Our team, comprised of experts from NVIDIA and leading research scientists, is dedicated to building cutting-edge infrastructure that empowers developers globally. With significant funding backing our mission, we provide ample opportunities for professional growth and the chance to make a meaningful impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Infrastructure Engineer (GPU & AWS)
✨Tip Number 1
Get to know Jack! He’s your go-to guy for understanding what you bring to the table and what you’re after in your career. A quick chat with him can open doors to opportunities you might not even know about.
✨Tip Number 2
Don’t be shy about showcasing your skills! When you talk to Jack, make sure to highlight your experience with GPU infrastructure and AWS. The more he knows about your expertise, the better he can match you with the right roles.
✨Tip Number 3
Stay proactive! After chatting with Jack, keep an eye on our website for new opportunities. We’re always updating listings, and you don’t want to miss out on a chance that fits your profile perfectly.
✨Tip Number 4
Be open to feedback! If Jill thinks you’re not quite the right fit for a role, don’t take it to heart. Jack will help you find other amazing opportunities that align with your skills and ambitions.
We think you need these skills to ace Senior AI Infrastructure Engineer (GPU & AWS)
Some tips for your application 🫡
Show Off Your Experience:When you're writing your application, make sure to highlight your experience with GPU cloud infrastructure and AWS. We want to see how you've tackled similar challenges in the past, so don’t hold back on the details!
Keep It Clear and Concise:We love a good story, but when it comes to applications, clarity is key! Make sure your writing is straightforward and to the point. Use bullet points if it helps to break down your skills and achievements.
Tailor Your Application:Don’t just send the same application everywhere! Tailor your application to this specific role at Tavus. Mention how your skills align with their mission of building real-time conversational AI video – it’ll show us you’re genuinely interested!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. Just follow the steps to 'Talk to Jack' and let him help you shine in your application!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GPU infrastructure and AWS. Be ready to discuss your past experiences managing cloud infrastructure at scale, as well as any specific projects you've worked on that relate to AI video generation.
✨Showcase Your Communication Skills
Since this role involves translating complex technical requirements into actionable plans, practice explaining your previous projects in simple terms. Think about how you can convey your ideas clearly to both technical and non-technical team members.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Prepare examples where you've had to architect solutions or manage transitions in AI infrastructure, especially those that required collaboration with research teams.
✨Research the Company and Its Culture
Familiarise yourself with Tavus and its mission in the AI space. Understanding their recent funding and the impact of their technology will help you align your answers with their goals and demonstrate your genuine interest in the role.
