HPC Consultants x 2

The Research Computing Services at the University of Cambridge has an exciting opportunity for an excellent candidate to join the Research Software Engineering (RSE) team. The successful applicant will develop, improve and maintain advanced software applications which power world leading research in areas such as epidemiology, astronomy, particle physics, medical imaging and materials chemistry using current and next generation exascale supercomputing technologies.

The Research Computing Service runs the UK's most powerful academic supercomputer, the Cambridge Service for Data-Driven Discovery, a multi-million pound system comprising cutting-edge hardware. The system, continually upgraded, has more than 100,000 Intel x86 cores, and over 300 Nvidia GPUs.

The role will involve working on a wide range of projects collaborating with world leading researchers at the university, nationally and internationally. The role will be key in delivering a range of projects by providing knowledge, skills and advice to develop and improve high-quality applications that will enable research across a wide range of disciplines.

The successful candidate will have the following:

Experience writing and maintaining high-performance application code, with experience with the key languages commonly used in scientific computing such as C, C++ (preferred), Fortran or Python.

Experience with at least one of the frameworks used to exploit large, modern parallel computers such as MPI, OpenMP or CUDA is highly desirable.

Some high-level knowledge of the hardware (i.e. CPUs, GPUs and low-latency interconnects) that make up a modern supercomputer along with experience of working in the Linux software environment will be valuable.

The ability to work with a range of technologies.

Enthusiasm to stay abreast of developing technologies.

Experience with, or willingness to learn about, the scientific domains that drive the need for high-performance computing.

Interest in the emerging areas of machine learning and data science would also be a plus.

To serve the growing demand for deep learning, machine learning, and artificial intelligence knowledge of these areas would be beneficial.

Alongside code development, enthusiasm to interact with users of the local and national supercomputing resources to solve real, cutting-edge research problems will be key so any experience of consultancy, teaching or user-support will be a plus.

The position will require working with a large range of stakeholders and good organisational and communication skills are key to the role. The most important aspect of this role is an enthusiasm to learn and develop technical skills.

If you do not quite meet the requirements for the role but would be willing to learn then please do apply.

We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

We particularly welcome applications from women and candidates from a BME background for this vacancy as they are currently under-represented. 

For any queries regarding this position, please contact Chris Edsall via e-mail cje57@cam.ac.uk.

Please quote reference VC35122 on your application and in any correspondence about this vacancy.

Please quote reference VC35122 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.

Advert information