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: Exciting 6-month contract with opportunities for growth and learning.
- 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 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 Warrington 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 access to cutting-edge technology and resources. Employees benefit from continuous growth opportunities, a commitment to diversity, and the chance to work on impactful projects that drive business results.
StudySmarter Expert Advice🤫
We think this is how you could land HPC AI Cloud Engineer in Warrington
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at World Wide Technology. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo 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 the interview by brushing up on your knowledge of GCP and performance benchmarks. We recommend practising common interview questions related to HPC and AI workloads 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, it shows you’re serious about joining the team!
We think you need these skills to ace HPC AI Cloud Engineer in Warrington
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 the technologies mentioned in the job description, especially GCP, NVIDIA, and AMD tools. 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.
✨Prepare Real-World Examples
Think of specific projects or experiences where you've designed or optimised HPC and AI workloads. Be ready to explain how you identified bottlenecks and what tools you used for benchmarking. This will help demonstrate your hands-on experience and problem-solving skills.
✨Show Your Collaborative Spirit
Since the role involves working with teams, be prepared to discuss how you’ve collaborated in the past. Share examples of how you aligned workloads with optimal architecture and built automation tools. This will highlight your ability to work well with others and contribute to team success.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, challenges they face with HPC workloads, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
