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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 technology.
- 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 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
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Remotestar or similar companies. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions related to AI infrastructure, Kubernetes, or GPU clusters, make sure to highlight them in conversations or during interviews. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Kubernetes knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Senior AI Infra Engineer: GPUs, Kubernetes, HPC
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 or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI infrastructure and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific challenges you've tackled in previous roles, especially those related to automation and distributed training. We’re looking for innovative thinkers who can bring fresh ideas to our high-paced environment.
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’s super easy – just follow the prompts and let us know why you’d be a great addition to 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 how you've tackled challenges in previous roles. Think about situations where you developed automation software or improved AI infrastructure, and be ready to explain your thought process.
✨Understand the Company Culture
Research Remotestar and their approach to deep-tech solutions. Familiarise yourself with their values and mission, so you can align your answers with what they’re looking for in a candidate.
✨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 gauge if it’s the right fit for you.