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- 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, remote work flexibility, 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 compute, HPC, and AI/ML infrastructure is essential.
- Other info: Dynamic remote work environment with occasional travel to customer sites.
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.
Solutions Architect in Leeds employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect in Leeds
✨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, networking, and Kubernetes. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 3
Showcase your hands-on experience! When discussing your past projects, focus on specific challenges you faced and how you solved them. This will demonstrate your problem-solving skills and technical expertise.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Solutions Architect in Leeds
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 Solutions Architect role. We love seeing your personality come through, so feel free to share your passion for technology and problem-solving.
Showcase Your Technical Skills: Since this role involves hands-on architecture, make sure to mention your experience with Kubernetes, Terraform, and any other relevant tools. We’re looking for someone who can hit the ground running, so highlight those technical chops!
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 makes the whole process smoother for everyone involved!
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 infrastructure. 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.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to identify performance bottlenecks and recommend improvements. Think about times when you had to bridge the gap between technical teams and customer needs, and be ready to share those stories.
✨Familiarise Yourself with the Tools
Since experience with Kubernetes and Terraform is crucial, make sure you can talk confidently about your hands-on experience with these tools. Consider discussing specific deployments or configurations you've worked on to demonstrate your expertise.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current GPU cloud environments and their future plans. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.