Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage GPU supercomputing clusters and write scalable applications in Rust.
- Company: Cutting-edge AI company based in Greater London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a mission-driven team advancing AI technology and make a real impact.
- Qualifications: Experience with containerized applications, Kubernetes, and infrastructure-as-code.
- Other info: Collaborative environment focused on security best practices and deployment enhancements.
The predicted salary is between 60000 - 80000 £ per year.
A cutting-edge AI company in Greater London is seeking an individual to manage and operate GPU supercomputing clusters for AI training and production models. The ideal candidate will write scalable containerized applications in Rust and implement infrastructure-as-code best practices. Familiarity with technologies like Kubernetes and Pulumi is preferred. This role involves collaboration on security best practices and deployment enhancements, contributing directly to our mission of advanced AI systems.
Staff Infrastructure Engineer — AI Supercompute & Cloud employer: Pantera Capital
Contact Detail:
Pantera Capital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Infrastructure Engineer — AI Supercompute & Cloud
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud computing space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! If you’ve got experience with GPU supercomputing or containerized applications, create a portfolio or GitHub repo showcasing your projects. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for the technical interview! Brush up on your knowledge of Kubernetes and Pulumi, and be ready to discuss how you’ve implemented infrastructure-as-code in past roles. We want to see your problem-solving skills in action!
✨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’re always on the lookout for passionate individuals who want to contribute to our mission of advanced AI systems.
We think you need these skills to ace Staff Infrastructure Engineer — AI Supercompute & Cloud
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU supercomputing and containerized applications. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your background in Rust and infrastructure-as-code can contribute to our mission. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working closely with others, mention any past experiences where you’ve collaborated on security best practices or deployment enhancements. We love team players who can communicate effectively!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Pantera Capital
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU supercomputing and the specific technologies mentioned, like Rust, Kubernetes, and Pulumi. Brush up on your knowledge of infrastructure-as-code practices, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world scenarios where you've tackled challenges related to AI training or production models. Think about specific examples where you improved deployment processes or enhanced security measures, as this will demonstrate your hands-on experience.
✨Collaboration is Key
Since this role involves working closely with others, be ready to talk about your experience collaborating on projects. Highlight any instances where you contributed to team success, especially in areas like security best practices or deployment enhancements.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s mission and the role. Inquire about their current projects involving AI systems or how they approach scalability and security in their infrastructure. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.