AI Infrastructure Associate Engineer (3 x FTE)
University of Bristol - School of Physiology, Pharmacology and Neuroscience · Bristol, CT · 1 wk ago
Information TechnologyFull-time
What will you be doing?
- Use tools such as Python, Rust, Terraform / OpenTofu, Kubernetes, Git and Bash.
- Design and operate large, highly available supercomputing services managed as software-defined infrastructures, and integrated as complete computational experiments.
- You will experience designing and operating massive-scale GPU and combined CPU/GPU workloads across these services.
- You will design and debug platforms, and will work closely with researchers as you co-design solutions that will enable the development and operation of new algorithms and software to solve leading-edge research problems.
Requirements
- Domain knowledge in 1 or more areas from SysOps, NetOps, DevOps, SecOps, MLOps or Research Software Engineering.
- Degree (or equivalent practical experience) in computer science, computational or ML/AI research or in a natural science with a high degree of competence in computer science or computational research.
- Ability to contribute as a member of diverse, technical teams and to follow operational procedures.
Qualifications
- Experience supporting development or operation of a small to large clusters or dabbled in building your own physical or software-defined systems.
- Experience operating large distributed, highly available systems, and want to see them used for truly open national-scale research in a cybersecurity compliant manner.
Benefits
- Contract type: Open ended with fixed funding until August 2030.
- Work pattern: Monday - Friday, 35 hours per week.
- Positions available: x3 FTE.
- School/Unit: Bristol Centre for Supercomputing (BriCS).
Pay
Salary: £43,482 - £50,253 per annum.
Schedule
Monday - Friday, 35 hours per week.