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HPC / Slurm Infrastructure Engineer

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HPC / Slurm Infrastructure Engineer
Contract | Remote | Part-time or Full-time | Rate DOE
I'm working with a technology company looking to improve and scale its engineering compute / HPC environment, with a particular focus on designing and deploying Slurm.
This isn't a requirement for someone who has simply administered an existing Slurm environment or submitted workloads to a cluster. They need someone who has been involved in the architecture, build and deployment of Slurm-based compute infrastructure and can take ownership of the environment from an early stage.
The requirement is still being shaped, so we're looking for someone senior enough to assess the existing infrastructure, recommend the appropriate architecture and then help lead the implementation.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
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StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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Likely Areas of Responsibility
- Architecture and deployment of Slurm-based HPC / compute clusters
- Slurm controller and compute-node architecture
- Scheduling, queues/partitions and resource management
- QoS, Fairshare and workload prioritization
- Slurm accounting and monitoring
- Linux compute infrastructure
- Cluster provisioning and configuration
- Infrastructure automation and scripting
- Performance, utilization and capacity optimization
- Working with engineering teams to understand compute requirements and translate these into infrastructure


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Experience within semiconductor / ASIC engineering environments would be particularly interesting.
Ideally, you'll have supported compute-intensive EDA workloads, such as:
- RTL simulation and verification
- Regression workloads
- Synthesis
- Physical design / implementation
- Cadence, Synopsys or Siemens/Mentor toolchains
The key requirement, however, is genuine Slurm architecture and deployment experience rather than semiconductor experience alone.
If you've previously designed and built Slurm clusters rather than simply used or supported them, I'd be interested in speaking.
Please message me directly for more information.
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