Engineering the digital backbone of Ashwa Racing — from the website you're reading to the systems that keep the car on track.
The IT subsystem drives digital innovation at Ashwa Racing — from the public-facing website to the internal tooling that powers day-to-day operations.
Our responsibilities span the team's custom ERP platform, driverless simulation and machine learning systems, data acquisition pipelines, and the broader technology ecosystem that keeps Ashwa Racing scalable, secure, and efficient.
If it involves code, infrastructure, or data — IT owns it.
type Domain =
"web" | "ml" | "erp" | "infra";
interface AshwaIT {
domains: Domain[];
mission: string;
deploy: () => Promise<void>;
}
const it: AshwaIT = {
domains: ["web", "ml",
"erp", "infra"],
mission: "build fast, ship often",
deploy: async () => {
await push("production");
}
};Building and maintaining Ashwa Racing's digital presence with modern web standards, performance-first architecture, and editorial-grade design.
Developing perception, planning, and control models to support autonomous racing simulations across the Ashwa driverless programme.
In-house management tooling for inventory, documentation, resource planning, and workflow automation — built for how a Formula Student team actually works.
Servers, APIs, CI/CD pipelines, version control, and deployments — the invisible layer that keeps everything else running.
Fast. Automated. Scalable. Reliable. Our long-term vision is a digital ecosystem that makes smarter engineering decisions possible, reduces manual effort across every subsystem, and builds tooling that outlasts any single season.
Transform the static site into a fully dynamic, component-driven platform with unified API, real-time content updates, and improved long-term maintainability.
A web-based interface centralising vehicle logs, test run analytics, sensor health, and simulation outputs as a single source of truth for all subsystems.
Scripts, dashboards, and automated workflows that eliminate repetitive manual work — giving every team member more time for actual engineering.
Expanding simulation capabilities, improving perception pipelines, and integrating real-time model evaluation for full autonomous stack validation.
A unified design language for all Ashwa software — visual consistency, accessibility, performance, and faster development cycles across every product.
A centralised repository of tutorials, onboarding guides, and technical documentation — making learning fast and reducing dependency on institutional memory.