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: Competitive contract pay, hybrid work model, and hands-on experience with cutting-edge technology.
- Other info: Exciting 6-month contract with opportunities for growth and learning.
- Why this job: Make an impact by optimising AI workloads and collaborating with top tech teams.
- Qualifications: Strong GCP experience and knowledge of HPC concepts 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.
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: World Wide Technology
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 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, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨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 brushing up on your technical knowledge and problem-solving skills. Practice common interview questions related to GCP, performance benchmarks, and HPC concepts to boost your confidence.
✨Tip Number 4
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 genuinely interested in joining our 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 highlights your experience with GCP, 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 passionate about this role and how your background makes you the perfect fit. We love seeing enthusiasm and a bit of personality!
Showcase Your Technical Skills:Be specific about your hands-on experience with NVIDIA, AMD, and TPUs. Mention any performance benchmarks you've worked on and tools you’ve used. We’re looking for those details that set you apart from the crowd!
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’s super easy!
How to prepare for a job interview at World Wide Technology
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of GCP, NVIDIA, and AMD technologies. Be ready to discuss specific projects where you've optimised performance or tackled bottlenecks. The more you can demonstrate your hands-on experience, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've identified and resolved system bottlenecks in the past. Use examples that highlight your analytical skills and your ability to work with frameworks like PyTorch and TensorFlow. This will show them you're not just a techie, but a problem solver.
✨Get Familiar with Benchmarking Tools
Since benchmarking is a key responsibility, make sure you know the ins and outs of tools like MLPerf and HPL. Be ready to discuss how you've used these tools in previous roles to validate performance and what results you achieved.
✨Collaborate and Communicate
This role involves working with various teams, so be prepared to discuss how you've collaborated in the past. Highlight any experience you have with automation tools and how you've aligned workloads with optimal architecture. Good communication can set you apart!
