Job description
Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure (criminal records check) check. This role is based in Research Computing Services (RCS) a leading UK National Supercomputing Centre and home to Dawn, the fastest AI supercomputer in the UK, providing facilities and services to world-renowned scientists, clinicians and engineers across the UK and Europe. The successful candidate will manage a team of highly technical specialists with a focus on High-Performance Computing (HPC) and storage systems. The role will play a critical function in advancing the University of Cambridge's research computing capabilities in HPC, Big Data and AI. The responsibilities encompass leading, designing, implementing, and managing HPC and storage infrastructure to support the cutting-edge research conducted by the University's academic community. Key Responsibilities: - Lead the design, implementation, and management of the HPC and storage systems, ensuring high availability, reliability, and performance. - Collaborate closely with researchers and faculty to understand their computational requirements and tailor solutions to meet their specific needs. - Provide expert guidance on best practices for HPC system architecture, storage technologies, and data management strategies. - Manage a team of skilled engineers and technicians, fostering a culture of innovation, collaboration, and continuous improvement. - Stay abreast of industry trends and emerging technologies in HPC and storage, and evaluate their potential benefits for the university's research community. - Develop and implement security protocols and policies to safeguard sensitive research data. Qualifications: - Bachelor's or higher degree in computer science, computer engineering or equivalent experience. - Extensive experience in designing, deploying, and managing HPC systems and storage solutions. - Proficiency in cluster management software, parallel file systems. - Strong leadership and team management skills with the ability to inspire and mentor a technical team. - Excellent communication and interpersonal skills to collaborate effectively with researchers, faculty, and cross-functional teams. - In-depth knowledge of Linux-based operating systems and scripting languages (e.g., Bash, Python). - Familiarity with research computing environments, scientific applications, and workflows is highly desirable. More information about the role is attached in the 'Further Particulars' document. The University is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows. We welcome applications from individuals who wish to be considered for flexible working arrangements. We particularly welcome applications from women and candidates from a BME background for this vacancy as they are currently under-represented at this level in our institution. To apply online for this vacancy and to view further information about the role, please click on the apply button above. Informal enquiries are welcomed and should be directed to Wojciech Turek (wjt27@cam.ac.uk) Please quote reference VC40080 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.