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.
- Other info: Collaborative environment focused on security best practices and deployment enhancements.
- 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.
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 in London employer: Pantera Capital
Join a pioneering AI company in Greater London that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact the development of advanced AI systems. With a strong focus on employee growth, we provide opportunities for professional development and skill enhancement, alongside competitive benefits that support work-life balance. Experience the unique advantage of working in a vibrant tech hub, surrounded by like-minded professionals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Infrastructure Engineer — AI Supercompute & Cloud in London
✨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. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Kubernetes, Pulumi, and infrastructure-as-code best practices. We recommend doing mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates. So, what are you waiting for? Get your application in!
We think you need these skills to ace Staff Infrastructure Engineer — AI Supercompute & Cloud in London
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 Technical Skills:Don’t forget to mention your familiarity with Kubernetes and Pulumi. We love seeing candidates who are up-to-date with the latest technologies, so include any relevant certifications or projects that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
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 Kubernetes and Pulumi. Brush up on your Rust skills too, as you might be asked to discuss or even demonstrate your coding abilities during the interview.
✨Showcase Your Infrastructure Skills
Be prepared to talk about your experience with infrastructure-as-code best practices. Have examples ready that highlight how you've implemented these practices in previous roles, especially in relation to AI training and production models.
✨Collaboration is Key
Since this role involves working closely with others, think of instances where you’ve successfully collaborated on projects. Be ready to discuss how you approach teamwork, particularly in areas like security best practices and deployment enhancements.
✨Align with Their Mission
Understand the company’s mission around advanced AI systems and be ready to express how your skills and experiences align with their goals. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their vision.
