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For Companies At a Glance
- Tasks: Design and deliver high-performance GPU cloud environments for AI workloads.
- Company: Global technology company with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible remote working, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and tackle complex challenges in AI and GPU technology.
- Qualifications: Experience in GPU, HPC, or AI/ML infrastructure and strong networking knowledge.
- Other info: Dynamic role with occasional travel and excellent career advancement potential.
The predicted salary is between 120000 - 150000 £ per year.
A global technology company is looking for a Solution Architect to design and deliver high-performance GPU cloud environments. You’ll work directly with customers, engineering, and infrastructure teams to ensure AI workloads run efficiently at scale.
Who This Role Is For
Hands-on architects with deep experience in GPU, HPC, or AI/ML infrastructure. You’re comfortable bridging technical teams and customer needs, solving complex scaling challenges, and owning architectural decisions in a remote contract environment.
Key Responsibilities
- Design GPU solutions, including cluster sizing, networking, and performance optimization.
- Provide guidance on compute, storage, networking, and deployment architectures.
- Identify performance or scaling bottlenecks and recommend improvements.
- Support customer onboarding, proofs of concept, and production deployments.
What They’re Looking For
- Strong experience with GPU compute, HPC, and AI/ML workloads.
- Solid understanding of networking (L2/L3, InfiniBand, RoCE) and storage systems.
- Hands-on experience deploying or supporting GPU clusters.
- Experience with Kubernetes and Terraform in production environments.
Interview Process: 15 Min Call with Talent, 2x Technical Calls (60 min). Very occasional travel to customer sites will be required.
If you are interested in the role and would like to know more, please reach out with your latest CV and I will be in touch if relevant.
Digital Solution Architect, flexible working in Bradford employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Solution Architect, flexible working in Bradford
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with GPU or AI/ML. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for those technical calls! Brush up on your knowledge of GPU compute, HPC, and Kubernetes. We recommend running through some common interview questions and scenarios to showcase your expertise.
✨Tip Number 3
Showcase your hands-on experience! During interviews, share specific examples of how you've tackled scaling challenges or optimised performance in previous roles. This will help you stand out as a practical problem-solver.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Digital Solution Architect, flexible working in Bradford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with GPU, HPC, and AI/ML workloads. 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 the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the challenges we face in designing high-performance GPU cloud environments.
Showcase Your Technical Skills: When detailing your experience, focus on your hands-on work with Kubernetes, Terraform, and GPU clusters. We’re looking for someone who can bridge technical teams and customer needs, so make sure to highlight any relevant experiences that demonstrate this ability.
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 shows you’re proactive and keen to join our team!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GPU, HPC, and AI/ML workloads. Be ready to discuss specific projects where you've designed or optimised GPU solutions, as well as any challenges you faced and how you overcame them.
✨Understand the Customer's Needs
Since you'll be working directly with customers, it's crucial to demonstrate your ability to bridge technical teams and customer requirements. Prepare examples of how you've successfully supported customer onboarding or managed proofs of concept in the past.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've identified performance bottlenecks and recommended improvements in previous roles. Think of specific instances where your architectural decisions made a significant impact on project outcomes.
✨Familiarise Yourself with Tools
Since experience with Kubernetes and Terraform is essential, make sure you can talk about your hands-on experience with these tools. Consider preparing a mini-case study of a deployment you've worked on that involved these technologies.