At a Glance
- Tasks: Design and optimise HPC & AI performance benchmarks on Google Cloud Platform.
- Company: Join World Wide Technology, a global leader in tech innovation.
- Benefits: Hybrid work model, competitive pay, and a chance to work with cutting-edge technology.
- Other info: 6-month contract with excellent career growth opportunities.
- Why this job: Make an impact in AI/ML while working with advanced accelerator platforms.
- Qualifications: Experience with GCP, NVIDIA, AMD, and strong Python skills required.
The predicted salary is between 50000 - 60000 € per year.
World Wide Technology (WWT) is a global technology integrator and supply chain solutions provider. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome.
World Wide Technology UK is looking for a hands-on Cloud Engineer with strong expertise in HPC and AI/ML performance workloads on Google Cloud Platform (GCP). The role focuses on benchmarking, optimizing, and validating performance across advanced accelerator platforms including NVIDIA GPUs, AMD GPUs, and Google TPUs.
This is a contract role & Inside IR35. Contract Duration: 6 months! Location: Manchester, United Kingdom (Hybrid with 2-3 days a week onsite).
Key Responsibilities:
- Design and execute HPC & AI performance benchmarks (training, inference, scientific workloads)
- Provision and optimize GPU/TPU-based infrastructure on GCP (A3/A4, TPU pods)
- Analyze performance across frameworks (PyTorch, TensorFlow, JAX, CUDA, ROCm)
- Identify system bottlenecks (compute, memory, network, I/O)
- Build automation tools for benchmarking and reporting
- Collaborate with teams to align workloads with optimal architecture
Required Skills:
- Strong experience with GCP (Compute Engine, GKE, Storage, Networking)
- Hands-on with NVIDIA (CUDA/NCCL), AMD (ROCm), and TPUs (XLA/JAX/TF)
- Solid knowledge of HPC concepts (MPI, RDMA, InfiniBand, Slurm/Kubernetes)
- Experience with performance benchmarks (MLPerf, HPL, NCCL, STREAM)
- Proficiency in Python, Bash, and IaC tools (Terraform/Ansible)
- Ability to analyze profiling tools (Nsight, TensorBoard, PyTorch Profiler)
Candidates will be required to go through background checks before commencing the contract. Must be eligible to live and work in the specified work location. Some occasional travel may be required. Only successful candidates will be contacted.
EQUAL OPPORTUNITIES: World Wide Technology is committed to equal opportunities and actively seeks applications from all sectors of the community irrespective of sex, race, colour, nationality, ethnic or national origin, disability, marital status, sexual orientation, having responsibility for dependents, age, religion/beliefs, or any other reason which cannot be shown to be justified.
HPC AI Cloud Engineer in Bolton employer: WWT EMEA UK LIMITED
World Wide Technology (WWT) is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for HPC AI Cloud Engineers to thrive. Located in Manchester, the hybrid work model allows for flexibility while providing access to cutting-edge technology and resources. With a strong commitment to employee growth and equal opportunities, WWT empowers its team members to excel in their careers while contributing to impactful projects in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land HPC AI Cloud Engineer in Bolton
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your HPC and AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to GCP, CUDA, and performance benchmarks. We recommend doing mock interviews with friends or using online platforms 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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace HPC AI Cloud Engineer in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the HPC AI Cloud Engineer role. Highlight your experience with GCP, NVIDIA, and performance benchmarks. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about HPC and AI/ML workloads. Let us know how you can contribute to our innovative culture at WWT.
Showcase Relevant Projects:If you've worked on any projects related to HPC or AI, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve benchmarking or optimising performance.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
How to prepare for a job interview at WWT EMEA UK LIMITED
✨Know Your Tech Inside Out
Make sure you’re well-versed in GCP, especially the Compute Engine and GPU/TPU services. Brush up on your knowledge of HPC concepts and performance benchmarks like MLPerf and HPL. Being able to discuss these topics confidently will show that you’re the right fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified and resolved system bottlenecks. Whether it’s compute, memory, or network issues, having a few solid stories ready will demonstrate your hands-on experience and analytical skills.
✨Familiarise Yourself with Frameworks
Since the role involves working with frameworks like PyTorch, TensorFlow, and JAX, make sure you can talk about your experience with them. Highlight any projects where you’ve optimised performance or built automation tools, as this will align perfectly with what they’re looking for.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the team’s current projects or challenges they face with HPC workloads. This not only shows your interest but also helps you gauge if the company is the right fit for you.
