Specialist, Software Engineer - 12 Month FTC

At McLaren, our mission is to set the standard for high performance in sport. And everyone, in every part of the team, has a role to play. So if you want to test your ideas with the world watching... And measure your progress in milliseconds... And play your part in racing history... You belong here. High performance starts with you.

Purpose of Role:

The purpose of this role is to analyse, design and engineer innovative software solutions to projects aligned with the requirements of McLaren Racing.

Role Dimensions:

The Software & Data Science department is responsible for the analysis, design, and delivery of bespoke software tools and methodologies which help improve our Formula 1 car's performance. This starts with aerodynamicists submitting designs via the CFD Portal, through wind tunnel data acquisition, processing,and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such

as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions.

As a Specialist Software Engineer, you will be involved in all stages of the development life cycle from initial analysis right through to deployment, monitoring, and support. Due to the nature of track and tunnel operations, some flexibility to work out of office hours and weekends will be required. The role will be primarily based at the McLaren Technology Centre with a proportion of the time spent working from home.

• To be involved in all stages of the development life cycle: initial analysis, design, implementation, build, integration, testing, deployment, debugging and support.

• To take ownership and lead on assigned projects (with support from your manager) in order to deliver project solutions on time and budget.

• To capture and understand project requirements, define specifications, and to architect robust, scalable and testable software and system solutions.

• To work collaboratively with your team, the department, and stakeholders in line with the Software & Data Science Guiding Principles.

• To accurately estimate activity timescales and provide regular progress reports

• To raise awareness of and mitigate against potential technical risks.

• To confidently analyse and overcome technical challenges with workable and innovative solutions.

• To contribute to and maintain consistent standards and approaches adopted by the team.

• To efficiently manage your workload.

• To keep up to date with the latest software development technologies and methodologies.

• To freely share knowledge, insight, best practice, and ideas.