Software Architect – F1 Motorsport South East; Onsite + Remote
Huron, Beadle County, South Dakota, 57399, USA
Listed on 2026-05-31
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Software Development
Software Engineer
Permanent (basic salary DOE, bonus schemes (championship & race weekends), flexible onsite hours (10am – 3pm), pension (5%), daily lunch allowance, life assurance (4x salary), private healthcare, onsite gym, and EV charging).
2.62 seconds. The time it takes to service an entire F1 racing car at the pit stop.
At one of the world’s leading Formula 1 teams, every line of code, every tool, and every application you help develop has a direct impact on performance where it matters most – on the track. In a sport watched by over 525 million fans globally, even the smallest software gain can translate into meaningful lap time improvements.
This job has been created to shape the architectural direction of the team’s software ecosystem – building scalable, high-performance tools that help aerodynamicists, performance engineers, and simulation teams make faster, smarter decisions when it counts.
What you will do- Work directly with aerodynamicists and engineers to uncover real requirements, challenge assumptions, and design solutions that improve workflows and decision‑making.
- Define the architecture across key software systems, ensuring scalability, maintainability, and performance.
- Prototype ideas quickly, validate with users, and scale the best concepts into production‑ready solutions.
- Modernise and unify legacy systems, reducing inefficiencies and ensuring platforms evolve alongside team ambitions.
- Collaborate across Aerodynamics and Vehicle Performance groups, influencing technology choices and promoting best practices.
- Extensive experience designing and building software systems in complex, engineering‑driven environments.
- Strong C# programming skills, with experience in .NET Core and ASP.NET.
- Knowledge of data‑centric applications (SQL Server) and structured workflows.
- Familiarity with frontend technologies (JavaScript/Type Script, HTML, CSS).
- Experience with Agile, Dev Ops, Git, and CI/CD pipelines.
- Strong communication skills with the ability to engage users, challenge requirements, and design smarter solutions.
- A pragmatic, delivery‑focused mindset with an interest in clean architecture and software craftsmanship.
(Bonus if you’ve worked with Kafka, Azure, or Docker/Kubernetes, or if you’ve built systems in R&D, motor sport, or real‑time data environments).
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