At a Glance
- Tasks: Join us to develop cutting-edge software and AI systems that enhance race performance.
- Company: Be part of Atlassian Williams Racing, a leader in Formula 1 innovation.
- Benefits: Enjoy competitive pay, exclusive events, and access to a 24/7 gym.
- Other info: Fast-track your career in a dynamic environment with mentorship and growth opportunities.
- Why this job: Make a real impact in motorsport while working with top engineers and technology.
- Qualifications: Studying Computer Science or related field; experience with programming languages like Python or Java.
The predicted salary is between 30000 - 42000 € per year.
At Atlassian Williams Racing’s Technology & Innovation Group (TIG) is modernising our tech capabilities to gain a competitive edge in Formula 1. From data-driven software and systems to cutting edge AI, including Atlassian at the core, we’re elevating technology’s role in race performance and accelerating development speed. In a budget-capped sport, smart technology is how we stay ahead - harnessing data, driving efficiency, and giving our engineers the tools to maximise every tenth of performance.
Overview
Within Technology & Innovation, our teams focus on Strategy & Operations, Software Engineering, and Data & AI. The Pit Wall of Technology and Innovation provides direction, oversight, and governance to ensure alignment with performance goals and long-term sustainability. This team enables data-driven decision-making, fosters innovation, and ensures our digital infrastructure delivers consistent, high-performance outcomes across all areas of the business.
Roles we are hiring for
- AI/Machine Learning Graduate
- Software Engineer (Enterprise Systems - PLM Integration) Graduate
- Software Engineer / Data Engineer Graduate
Role summaries
Join the Technology and Innovation Group (TIG) at Williams Racing as an AI + Machine Learning Graduate, where you’ll help develop intelligent systems that drive performance on and off the track. This is a hands-on opportunity to apply your skills in machine learning, data science, statistics and simulation to real-world motorsport challenges.
As a Software Engineer Graduate within the Enterprise Systems team, you\'ll play a key role in developing and integrating bespoke software solutions that support our Engineering and Operations functions, with a focus on PLM (Product Lifecycle Management) systems. Working closely with engineers across areas like Aerodynamics, Vehicle Dynamics, and Vehicle Performance, you\'ll help translate user needs into high-performance tools that enhance reliability, efficiency, and innovation. This is a hands-on opportunity to contribute to systems that quietly power performance, while gaining experience in cross-functional collaboration and impactful software development.
As a Graduate Software/Data Engineer, you’ll help design and develop integrated software and data solutions that support core engineering and operational functions, with a focus on PLM systems. This role blends software development with data engineering, giving you the opportunity to build tools that streamline workflows, manage complex datasets, and enhance collaboration across teams like Aerodynamics and Vehicle Dynamics. You’ll work closely with users to understand their needs and deliver scalable, high-impact solutions that contribute directly to performance and innovation.
Responsibilities
- Shape the Future: Collaborate with engineers and users to design software that drives performance optimisation.
- Develop bespoke tools that enhance reliability, efficiency, and innovation.
- Contribute to the evolution of systems that power performance across the car.
- Design and train AI models for vehicle dynamics, race strategy, and operational efficiency.
- Integrate intelligent systems across car development, manufacturing, and performance.
Make Real Impact
- Translate user needs into scalable, high-performance software solutions.
- Improve existing systems for speed, reliability, and usability.
- Streamline development processes for faster, more responsive delivery.
- Build machine learning pipelines for simulation, data fusion, and predictive analytics.
- Develop anomaly detection and optimisation models to boost reliability and performance.
- Deliver actionable insights using state-of-the-art frameworks like PyTorch and Scikit-learn.
Find Your Place (Qualifications)
- Studying Computer Science or a related field involving software development.
- Experience with languages such as C#, Java, C++, Python, Rust, or TypeScript.
- Organised, curious, and adaptable — comfortable working to deadlines and evolving with change.
- Strong communicator with a collaborative mindset.
- Passionate about solving technical problems and supporting high-performance engineering.
- Join a forward-thinking team with mentorship from world-leading engineers.
- Grow your career in a culture that blends engineering heritage with cutting-edge tech.
Company Description
History doesn’t repeat itself. It’s rebuilt - one breakthrough at a time. Be part of the team redefining performance and writing the next winning chapter for Williams Racing.
Additional Information
Due to a high volume of applications, we will be reviewing submissions on a rolling basis from 29th September. We encourage early applications to ensure consideration.
Life at Williams: Based at our Grove campus in Oxfordshire, enjoy competitive benefits, exclusive events, subsidised dining, and 24/7 gym access with fitness classes. Need a break? Relax in green spaces or explore nearby Oxford city centre, just 30 minutes away by bus.
At Atlassian Williams Racing is an equal opportunity employer that values diversity and inclusion and welcomes discussions about reasonable job adjustments. This job description is not exhaustive, and the job holder will be required to carry out from time-to-time tasks in addition to the above that will be both reasonable and within their capabilities.
We are happy to discuss reasonable job adjustments.
Technology & Innovation Graduate in Grove employer: Williams Racing
At Atlassian Williams Racing, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our Technology & Innovation Graduate Programme offers hands-on experience in a dynamic environment, with opportunities for mentorship from industry leaders and exposure to cutting-edge technology in the heart of motorsport. Located at our state-of-the-art Grove campus in Oxfordshire, employees enjoy competitive benefits, a supportive work culture, and the chance to contribute to a legacy of excellence while shaping the future of racing.
StudySmarter Expert Advice🤫
We think this is how you could land Technology & Innovation Graduate in Grove
✨Tip Number 1
Network like a pro! Reach out to current employees at Williams Racing on LinkedIn. Ask them about their experiences and any tips they might have for landing a role in the Technology & Innovation Group. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for those interviews! Research the latest trends in AI, machine learning, and software engineering relevant to motorsport. Be ready to discuss how your skills can contribute to enhancing performance at Williams Racing. Show them you’re not just a candidate, but a future team player!
✨Tip Number 3
Don’t forget to showcase your projects! Whether it’s a personal coding project or a group assignment, bring examples of your work to the table. This is your chance to demonstrate your problem-solving skills and creativity, which are key in a fast-paced environment like F1.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Williams Racing family. Don’t miss out on this opportunity!
We think you need these skills to ace Technology & Innovation Graduate in Grove
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the specific role you're applying for. Highlight relevant skills and experiences that align with the Technology & Innovation Group's focus on data-driven solutions and cutting-edge technology.
Show Your Passion:Let your enthusiasm for motorsport and technology shine through in your application. Share any personal projects or experiences that demonstrate your commitment to innovation and problem-solving in a high-performance environment.
Be Clear and Concise:Keep your writing clear and to the point. Use bullet points where appropriate to make your achievements stand out, and avoid jargon unless it's relevant to the role. We want to see your skills without wading through unnecessary fluff!
Apply Early:Don’t wait until the last minute! We review applications on a rolling basis, so getting your application in early can give you a better chance of standing out. Head over to our website and submit your application today!
How to prepare for a job interview at Williams Racing
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially AI, machine learning, and software development languages like Python and C#. Brush up on your understanding of how these technologies apply to motorsport and be ready to discuss specific examples.
✨Show Your Passion for Motorsport
Express your enthusiasm for Formula 1 and how technology plays a role in performance. Share any personal projects or experiences that demonstrate your interest in racing and innovation. This will help you connect with the interviewers who are passionate about the sport.
✨Prepare for Problem-Solving Questions
Expect to tackle technical problems during the interview. Practice explaining your thought process clearly and concisely. Use the STAR method (Situation, Task, Action, Result) to structure your answers, especially when discussing past projects or challenges you've faced.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, challenges they face, and how they measure success. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values and career goals.
