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- 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
Contact Detail:
RemoteStar Recruiting 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
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.