Williams Racing | Systems Software Engineer

Williams Racing
Grove
1 year ago
Applications closed

Company Description

114 race victories in Formula 1, nine times Formula 1 Constructors’ Champion, seven times Formula 1 World Drivers Champions and the only team to have won in F1, 24h Le Mans and British Touring Cars. A proven track record that sets Williams Racing apart from the competition. Our unique character, combined with a deep passion for racing and future-oriented thinking, has created the very essence of our company.


Our mission is to win races and, in doing so, establish an authentic racing and lifestyle brand. Pure efficiency and the determination to win are key components of our company’s DNA and its overriding purpose. And it’s not only about being victorious on the racetrack. It is the essential mindset to remain competitive and to achieve success in everything we do.


It follows therefore that Williams world class people are its most important asset. Our team operates at a high standard to ensure success.


Our commitment to support the next generation of innovators and winners, gives us the opportunity to be ready for every challenge we face. Together we are successful. Together we win. We are Williams.


Job Description

  As aSoftware Engineerat Williams Racing, you will develop cutting-edge software solutions to support our high-performance engineering and operational teams. You’ll work on the design, development, and maintenance of Windows-based applications, ensuring seamless integration with external services and systems critical to the success of our cars on the track. 


Main Duties: 


Key Accountabilities: (choose appropriate level description) 


Fulfil all organisational expectations, including but not limited to the following:  


Qualifications and Experience Level: 


Desirable Skills (Nice-to-Haves): 


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. 



  • Design, develop, and maintain software applications using C#, .NET, and WPF in an MVVM architecture. 




  • Develop and optimize database solutions using SQL. 




  • Create Windows applications tailored to engineering and operational needs. 




  • Interface with external services and systems to ensure smooth data flow and functionality. 




  • Implement and manage communication protocols such as TCP and UDP. 




  • Collaborate with cross-functional teams to deliver software solutions that meet high-performance standards. 




  • Debug, troubleshoot, and optimize code to ensure reliability and efficiency. 




  • Understand and work in line with Williams Values & Behaviours, encouraging others to do the same. 




  • Ensure understanding of health and safety obligations. 




  • Maintain personal high standards of behaviour and conduct, being a positive ambassador for the department. 




  • Ensure you adhere to brand rules and maintain high standards of department presentation. 




  • Work to quality standards 




  • Ensure understanding of cost cap rules and requirements. 




  • A strong foundation in software engineering principles and a passion for building robust, efficient systems. 




  • Proficiency in C#, .NET, and WPF with experience in developing Windows applications. 




  • Familiarity with MVVM architecture and best practices in software development. 




  • Comfortable working with SQL databases and communication protocols such as TCP and UDP. 




  • Ability to collaborate effectively with cross-disciplinary teams in a fast-paced environment. 




  • A proactive, problem-solving mindset with a commitment to continuous improvement. 




  • Knowledge of Python and Matlab to support data analysis and simulation tasks. 



Additional Information

#LI-AB1


Williams is an equal opportunity employer that values diversity and inclusion. We are happy to discuss reasonable job adjustments.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.