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- Tasks: Deploy and optimise GPU infrastructure for AI and HPC workloads.
- Company: Join a leading tech firm with a focus on innovation and excellence.
- Benefits: Competitive pay, hybrid work model, and potential contract extension.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: NVIDIA certification and hands-on experience with GPU platforms required.
- Other info: Dynamic role with opportunities for professional growth in a fast-paced environment.
The predicted salary is between 60000 - 90000 £ per year.
We are looking for an Operations Engineer NVIDIA Certified with hands-on experience delivering GPU and data centre infrastructure programmes. These roles support high-impact GPU platform deployments, enabling AI and HPC workloads across enterprise-scale environments.
Responsibilities
- Deploy and optimise GPU infrastructure for AI and HPC workloads
- Deliver data centre engineering tasks including rack integration, cabling, and power/cooling readiness
- Support rollout of high-performance networking and storage architectures aligned to GPU platforms
- Execute deployment activities with a focus on performance, stability, and operational excellence
- Support testing, validation, and operational handover to run teams
- Contribute to continuous improvement and best-practice deployment patterns
Requirements
- NVIDIA certification (eg NVIDIA DGX, DPU, or related infrastructure certs)
- Hands-on experience with GPU platform deployment for AI/HPC
- Strong data centre engineering background (racking, cabling, facilities readiness)
- Experience with high-performance networking and storage technologies
- Ability to deliver at pace while maintaining quality and precision
- Strong problem-solving and communication skills within complex delivery environments
If you're a certified Operations Engineer NVIDIA Certified ready to support and enhance complex GPU and data centre infrastructure rollouts, apply now with your CV. Professional references required.
NOTE: At SCC, we take the privacy and security of your information very seriously. Any information we hold will be handled in line with current data protection legislation. Upon submitting your application, SCC will process your information in accordance with our privacy policy, available under Legal Privacy Notice Flexible Resourcing.
Operations Engineer NVIDIA Certified in Bristol employer: SCC
Contact Detail:
SCC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Operations Engineer NVIDIA Certified in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with GPU and data centre technologies. 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 a project showcase that highlights your hands-on experience with GPU deployments and data centre engineering. This can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and HPC workloads. We recommend practising your answers with a friend or even in front of the mirror to boost your confidence.
✨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, it shows you're serious about landing that Operations Engineer role.
We think you need these skills to ace Operations Engineer NVIDIA Certified in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your NVIDIA certification and hands-on experience with GPU platforms. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Experience: When detailing your experience, focus on specific tasks like rack integration and cabling. We love seeing concrete examples of how you've delivered data centre engineering tasks in the past, especially in high-performance environments.
Highlight Problem-Solving Skills: Since this role involves complex delivery environments, it’s crucial to demonstrate your problem-solving abilities. Share instances where you tackled challenges during GPU deployments or optimised performance in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at SCC
✨Know Your NVIDIA Stuff
Make sure you brush up on your NVIDIA certifications and relevant technologies. Be ready to discuss specific projects where you've deployed GPU infrastructure for AI or HPC workloads. This shows you're not just certified, but also experienced.
✨Showcase Your Hands-On Experience
Prepare examples of your hands-on experience with data centre engineering tasks like rack integration and cabling. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving skills in complex environments.
✨Communicate Clearly
Since strong communication skills are key, practice explaining technical concepts in simple terms. You might be asked to describe your approach to optimising GPU infrastructure, so clarity is crucial to ensure the interviewers understand your thought process.
✨Emphasise Continuous Improvement
Be ready to discuss how you've contributed to continuous improvement in past roles. Share specific examples of best-practice deployment patterns you've implemented and how they enhanced performance and stability in previous projects.
