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 in a dynamic environment.
- Why this job: Make an impact in AI/ML while working with advanced accelerator platforms.
- Qualifications: Strong GCP experience and hands-on skills with NVIDIA, AMD, and TPUs.
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 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 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 company offers a hybrid work model that promotes work-life balance while providing ample opportunities for professional growth through hands-on experience with cutting-edge technologies like GCP and advanced accelerator platforms. Employees benefit from a supportive environment that values diversity and equal opportunities, ensuring a rewarding and meaningful career path.
StudySmarter Expert Advice🤫
We think this is how you could land HPC AI Cloud Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at WWT. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions related to HPC, AI, or GCP, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of performance benchmarks and profiling tools. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 genuinely interested in joining the team.
We think you need these skills to ace HPC AI Cloud Engineer
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 GKE. Brush up on your knowledge of NVIDIA and AMD technologies, as well as TPUs. Being able to discuss specific projects or experiences where you've optimised performance will really impress.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss how you've identified and resolved system bottlenecks in the past. Use examples that highlight your analytical skills, especially with profiling tools like Nsight or TensorBoard. This will demonstrate your hands-on experience and critical thinking.
✨Demonstrate Collaboration
Since this role involves working with various teams, be ready to share examples of how you've collaborated effectively in the past. Talk about how you aligned workloads with optimal architecture and the impact it had on project outcomes.
✨Prepare for Technical Questions
Expect technical questions related to HPC concepts and performance benchmarks. Review key benchmarks like MLPerf and HPL, and be ready to explain their significance. Practising these topics will help you feel more confident during the interview.
