At a Glance
- Tasks: Build and optimise Kubernetes superclusters for AI workloads while collaborating with research teams.
- Company: Leading AI technology company with a focus on diversity and inclusion.
- Benefits: Remote flexibility, parental leave top-ups, and 6 weeks of vacation.
- Why this job: Join a cutting-edge team and make a real impact in the AI field.
- Qualifications: Experience with Kubernetes and programming in Go or Python.
- Other info: Dynamic work environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI technology company is looking for a Software Engineer to build and operate Kubernetes superclusters. This role involves optimizing infrastructure for AI workloads and collaborating with research teams.
Ideal candidates have experience with Kubernetes and programming in Go or Python.
The company promotes a diverse and inclusive culture, offering extensive benefits such as remote flexibility, parental leave top-ups, and 6 weeks of vacation.
AI Infra Engineer — Kubernetes & GPU Clouds employer: Cohere
Contact Detail:
Cohere Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Engineer — Kubernetes & GPU Clouds
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and Kubernetes space on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with projects showcasing your Kubernetes and programming prowess in Go or Python. It’s a great way to demonstrate what you can do beyond the application.
✨Tip Number 3
Prepare for those interviews! Brush up on common questions related to AI workloads and Kubernetes. Practising with a friend can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our diverse and inclusive culture. Plus, it makes tracking your application easier for us!
We think you need these skills to ace AI Infra Engineer — Kubernetes & GPU Clouds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Kubernetes and any programming skills in Go or Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with AI workloads and how you can contribute to our diverse and inclusive culture. Let us know what makes you tick!
Showcase Your Collaboration Skills: Since this role involves working closely with research teams, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Cohere
✨Know Your Kubernetes Inside Out
Make sure you brush up on your Kubernetes knowledge before the interview. Be ready to discuss how you've built or operated Kubernetes superclusters in the past, and think of specific examples where you've optimised infrastructure for AI workloads.
✨Show Off Your Coding Skills
Since programming in Go or Python is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges in these languages to feel confident and ready.
✨Understand the Company Culture
This company values diversity and inclusivity, so be prepared to discuss how you can contribute to that culture. Think about your past experiences working in diverse teams and how you can bring those insights to the table.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they measure success in this role. This shows your genuine interest and helps you gauge if it’s the right fit for you.