Senior AI Research Software Engineer (ICCS) (Fixed Term)

United States Digital Space LLC; Cambridge; On-site; GBP 70,000 - 110,000; Full time

Job summary

The University of Cambridge seeks a Senior AI Research Software Engineer to advance climate modelling tools and machine learning workflows within ICCS. You will collaborate with climate scientists and international teams to scope, design, and implement software solutions using Fortran, C++, Python and GenAI techniques.

The role offers hybrid working, funding for travel to conferences, and training to support career development.

Qualifications

• Advanced STEM degree or equivalent experience.
• Ability to work with highly complex code.
• Experience in planning and delegation in a project management environment.
• Ability to digest technical documentation and synthesise solutions to software infrastructure problems.
• Proficient in Fortran, C++, C, Python.
• Excellent communication and problem solving skills.
• Experience in software development and productivity tools (e.g., Git/GitHub, JIRA).
• Ability to engage productively with people of different backgrounds, nationalities and skill sets.
• Experience leveraging generative-AI techniques in code development and testing.

Responsibilities

• Collaborate with climate scientists to scope and design applications.
• Guide software engineering best practices and provide training on genAI usage.
• Develop and improve climate modelling tools within ICCS.
• Contribute to cross-disciplinary projects with international teams.

Skills

Fortran

C++

C

Python

Git/GitHub

JIRA

Project management

Communication

GenAI in code

Collaboration

Education

M.Sc./Ph.D. in STEM

Tools

GitHub

JIRA

Job description

In the face of the present climate crisis, there is a pressing need for skilled software engineers to aid climate scientists in delivering a new generation of climate models. The Institute of Computing for Climate Science (ICCS) is a multi-disciplinary institute that has been established to develop and deploy machine learning and computational tools to advance the understanding of climate systems and inform decision-making for both climate change prediction and mitigation.

A core part of the Institute is our team of Research Software Engineers (RSEs) who reside in Research Computing Services. ICCS RSEs work closely with several international teams of climate scientists, including the Schmidt Sciences' Virtual Earth Systems Research Institute, to develop and improve climate modelling tools and work with other members of ICCS to identify and implement projects which can have a wider impact.

We seek to appoint a Senior AI RSE for our RSE team. This position provides a unique opportunity to be involved in research projects directly connected to climate science, and broader research into supporting climate science through computer science, software engineering, and data science. The post also includes funding to support travel to conferences and for training activities to support career development.

Essential requirements for the role include:

• An advanced (M.Sc., Ph.D. or equivalent) degree in a STEM discipline or relevant experience.
• Ability to work with highly complex code.
• Experience in planning and delegation in a project management environment.
• Ability to digest technical documentation and synthesise solutions to software infrastructure problems.
• Proficient in one or more programming languages such as Fortran, C++, C, Python
• Excellent communication and problem solving skills.
• Experience in software development and related productivity tools (e.g., Git/GitHub, JIRA).
• Ability to engage productively, with people of different backgrounds, nationalities and skill sets.

Experience in leveraging generative-AI techniques in code development and testing is essential for this role. The post holder will work with scientists to help scope and design their applications, in addition to guiding them on software engineering best practices and providing training on the use of genAI in code development.

This is a fixed term position. The funds for this position are available until 31 December 2028 in the first instance.

The University is supportive of hybrid working and this role allows the post holder to be office based or to work in a hybrid way.

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

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our department.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.