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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, 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: Work remotely with occasional travel to customer sites for hands-on support.
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 Manchester employer: TechShack
Contact Detail:
TechShack Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect in Manchester
✨Tip Number 1
Get your networking game on! Reach out to professionals in the GPU and AI/ML space. Join relevant online communities or forums where you can connect with others in the industry. This could lead to valuable insights and even job referrals.
✨Tip Number 2
Prepare for those technical calls! Brush up on your knowledge of GPU compute, HPC, and AI/ML workloads. Make sure you can confidently discuss your hands-on experience with Kubernetes and Terraform, as these are key to impressing the interviewers.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to simulate the interview process. Focus on articulating your architectural decisions and how you've tackled scaling challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves from our hiring team.
We think you need these skills to ace Solutions Architect in Manchester
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 enthusiasm and a clear understanding of the challenges in GPU cloud environments.
Showcase Your Technical Skills: Don’t forget to mention your hands-on experience with Kubernetes, Terraform, and any other relevant technologies. We’re looking for someone who can bridge technical teams and customer needs, so highlight those skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at TechShack
✨Know Your Tech Inside Out
Make sure you’re well-versed in GPU, HPC, and AI/ML infrastructure. Brush up on your knowledge of networking and storage systems, as these will be key topics during the interview. Be ready to discuss specific projects where you've deployed or supported GPU clusters.
✨Showcase Problem-Solving Skills
Prepare examples of how you've identified and resolved performance or scaling bottlenecks in previous roles. This is a hands-on position, so demonstrating your ability to tackle complex challenges will impress the interviewers.
✨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. If possible, have a few examples ready that highlight how you’ve used them in production environments.
✨Engage with the Interviewers
Remember, this role involves bridging technical teams and customer needs. During the interview, ask insightful questions about their current projects and challenges. This shows your interest and helps you gauge if the company is the right fit for you.