L3 Compute & HPC Assoc Manager

L3 Compute & HPC, Assoc Manager

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) 

Salary: Competitive salary and package (Depending on level of experience) 

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, 24x7 and on the most up-to-date high density compute stacks available.

Shift teams will be setup and operate 24x7 and successful candidates working on shift will be paid a shift premium for the non-standard unsociable shift hours that will be part of that rota.?

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.