Senior AI Infra Engineer: GPUs, Kubernetes, HPC in Cambourne

Senior AI Infra Engineer: GPUs, Kubernetes, HPC in Cambourne

Cambourne Full-Time 70000 - 90000 £ / year (est.) No working from home possible
RemoteStar

At a Glance

  • Tasks: Develop automation software for AI infrastructure and large-scale distributed training.
  • Company: Leading deep-tech company in the UK with a focus on innovation.
  • Benefits: Hybrid work model, private health insurance, and professional growth opportunities.
  • Other info: Exciting chance to work with NVIDIA GPU clusters and advance your career.
  • Why this job: Join a high-paced environment and work with cutting-edge AI technologies.
  • Qualifications: 10+ years of software engineering experience, proficient in Python and Kubernetes.

The predicted salary is between 70000 - 90000 £ per year.

Remotestar, a leading deep-tech company in the UK, is seeking an experienced Systems Programmer to develop automation software for bare-metal AI infrastructure and large-scale distributed training.

With 10+ years of software engineering experience, the ideal candidate should be proficient in Python, have deep Kubernetes knowledge, and hands-on experience with NVIDIA GPU clusters.

This position offers a hybrid work model, private health insurance, and opportunities for professional growth and learning in a high-paced environment.

Senior AI Infra Engineer: GPUs, Kubernetes, HPC in Cambourne employer: RemoteStar

At RemoteStar, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Houston-based client is at the forefront of digital transformation in the energy sector, providing employees with unique opportunities to work on cutting-edge AI technologies while contributing to meaningful projects that enhance operational efficiency. With a strong focus on professional growth and a supportive environment, we empower our team members to thrive and make a real impact in their roles.

RemoteStar

Contact Details:

RemoteStar Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Infra Engineer: GPUs, Kubernetes, HPC in Cambourne

Tip Number 1

Network like a pro! Reach out to folks in the industry, especially those who work with AI infrastructure. A friendly chat can lead to insider info about job openings that aren't even advertised yet.

Tip Number 2

Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to Kubernetes and GPU clusters. This gives potential employers a taste of what you can do beyond just your CV.

Tip Number 3

Prepare for technical interviews by brushing up on your Python and Kubernetes knowledge. Practice coding challenges and system design questions to demonstrate your expertise during the interview process.

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 AI Infra Engineer: GPUs, Kubernetes, HPC in Cambourne

Python
Kubernetes
NVIDIA GPU Clusters
Automation Software Development
Distributed Training
Software Engineering
Systems Programming

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience with Python, Kubernetes, and NVIDIA GPU clusters. We want to see how your skills align 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! Tell us why you’re passionate about AI infrastructure and how your 10+ years of experience make you the perfect fit for our team. Keep it engaging and personal.

Showcase Your Problem-Solving Skills:In your application, give examples of challenges you've faced in previous roles and how you tackled them. We love seeing candidates who can think on their feet and come up with innovative solutions!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at RemoteStar

Know Your Tech Inside Out

Make sure you brush up on your Python skills and have a solid understanding of Kubernetes. Be ready to discuss your hands-on experience with NVIDIA GPU clusters, as this will likely come up during the interview.

Showcase Your Problem-Solving Skills

Prepare to share specific examples of challenges you've faced in previous roles, especially related to automation software and distributed training. Highlight how you approached these problems and the solutions you implemented.

Understand the Company Culture

Research Remotestar and their work environment. Familiarise yourself with their projects and values, so you can demonstrate how you align with their mission and how you can contribute to their high-paced environment.

Ask Insightful Questions

Prepare thoughtful questions about the role, team dynamics, and future projects. This shows your genuine interest in the position and helps you assess if it's the right fit for you.