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- Tasks: Design and manage high-performance computing infrastructures for cutting-edge AI projects.
- Company: Join Accenture, a global leader in professional services and technology innovation.
- Benefits: Competitive salary, travel opportunities, and a dynamic work environment.
- Why this job: Be at the forefront of AI infrastructure and make a real impact on future technologies.
- Qualifications: Experience in HPC environments and proficiency in AI/ML frameworks required.
- Other info: Exciting career growth in a diverse and inclusive workplace.
The predicted salary is between 43200 - 72000 £ per year.
Salary: Competitive salary and package (Depending on level of experience)
Locations: UK, London (must be willing to travel to client sites throughout the UK on an ad hoc basis)
Accenture are partnering with scaled UK AI compute pioneers to lead the charge on next-generation infrastructure for sovereign AI. To support this endeavor, we’re building a high-performance compute operations team in London. Our work will be sensitive, secure and on the most up-to-date high density compute stacks available. Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application.
Key Responsibilities:
- Design, deploy, and manage HPC infrastructures including GPU clusters and parallel computing environments.
- Support AI model training platforms by maintaining compute resources, optimizing scheduling, and ensuring compatibility with AI frameworks and libraries.
- Monitor, analyse, and fine tune performance metrics addressing bottlenecks or inefficiencies.
- Develop and maintain automation scripts and tools (e.g., PowerShell, Python, Bash) to streamline operational tasks, monitoring, and reporting.
- Document architecture, configurations, processes, and resolutions for compliance, knowledge transfer, and continuous improvement.
- Participate in root cause analysis (RCA) and post-incident reviews for compute or HPC-related incidents, implementing preventive measures as needed.
Required Skills:
- Expertise in an HPC environment, including GPU cluster administration (e.g., NVIDIA, AMD) and workload schedulers such as SLURM or PBS.
- Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow, PyTorch, CUDA).
- Solid understanding of networking, storage, and server platforms in both Windows and Linux environments.
- Advanced analytical, troubleshooting, and performance tuning skills, with the ability to diagnose and resolve complex compute and HPC issues.
- Experience with automation, monitoring platforms, and scripting languages (e.g., Python, PowerShell, Bash) to enhance operational efficiency.
- Strong communication and collaboration skills, with a track record of working effectively across technical and non-technical teams.
- Familiarity with compliance, data security, and best practices for compute and HPC environments.
- Relevant certifications such as ITIL, NVIDIA DLI, Dell EMC, etc.
L3 Compute & HPC Assoc Manager in London employer: Accenture
Contact Detail:
Accenture Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land L3 Compute & HPC Assoc Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks in the HPC and AI space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you've got experience with GPU clusters or AI frameworks, consider creating a portfolio or blog. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on common HPC scenarios and troubleshooting questions. Practising with a friend can help you articulate your thought process clearly.
✨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!
We think you need these skills to ace L3 Compute & HPC Assoc Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the L3 Compute & HPC role. Highlight your experience with GPU clusters, AI frameworks, and any relevant automation skills. We want to see how your background aligns with what we're looking for!
Showcase Your Skills: In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've designed or managed HPC infrastructures, or optimised performance metrics. This helps us understand your hands-on experience.
Be Clear and Concise: When writing your cover letter, keep it clear and to the point. We appreciate a straightforward approach that gets to the heart of why you’re a great fit for the role. Avoid fluff and focus on your key achievements!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Accenture
✨Know Your HPC Stuff
Make sure you brush up on your knowledge of high-performance computing environments, especially GPU clusters and workload schedulers like SLURM or PBS. Be ready to discuss your hands-on experience with these technologies and how you've optimised performance in past roles.
✨Showcase Your Scripting Skills
Since automation is key in this role, prepare to talk about your experience with scripting languages like Python, PowerShell, or Bash. Have examples ready that demonstrate how you've used these tools to streamline operations or solve complex problems.
✨Understand AI Frameworks
Familiarise yourself with popular AI/ML frameworks such as TensorFlow and PyTorch. Be prepared to explain how you've supported AI model training workflows and any challenges you've faced in ensuring compatibility with these frameworks.
✨Communicate Effectively
Strong communication skills are essential for this position. Think of examples where you've successfully collaborated with both technical and non-technical teams. Highlight how you’ve documented processes and shared knowledge to improve team efficiency.
