University of Bristol - School of Physiology, Pharmacology and Neuroscience · 4 hours ago
AI Infrastructure Associate Engineer (up to x3 FTE)
Bristol, CT
Full-time
Onsite
New Grad, Entry LevelThe University of Bristol - School of Physiology, Pharmacology and Neuroscience is seeking an AI Infrastructure Associate Engineer to join their AI Supercomputing Team. This role involves building and operating software-defined infrastructure for researchers, ensuring efficient use of resources while collaborating with domain experts to develop innovative solutions.
Higher Education
Responsibilities
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
Qualification
Required
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
Company
University of Bristol - School of Physiology, Pharmacology and Neuroscience
Research within the School of Physiology, Pharmacology and Neuroscience is conducted across Neuroscience, Cardiovascular and Cell Signalling.
Founded in 1876
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase