Top Tech Jobs & Startup Jobs

Designs, builds, and operates Kubernetes-based infrastructure across AWS, hybrid-cloud, on-premises, factory edge, and trackside environments. Develops infrastructure-as-code, GitOps, CI/CD, observability, platform automation, and self-service developer tooling. Supports reliability engineering, SLOs, incident response, root cause analysis, security, compliance, documentation, and coaching. The role also contributes to AI-assisted development workflows and internal deployment platforms.

Conduct simulation studies for current and future Formula 1 cars, support simulator and rig testing, and develop software tools, data platforms, and performance metrics. The role provides experience across vehicle dynamics, data analysis, and vehicle testing while generating performance insights for car development and race support in a high-pressure collaborative environment.

Twelve-month industrial placement supporting composite part design for Formula 1 chassis, bodywork, and wings. Responsibilities include producing engineering drawings and laminates, collaborating with manufacturing, quality, prototype, and test teams, resolving manufacturing queries, improving processes, and contributing to composite design research and development.

Complete a 12-month placement within the Aero Development team, analyzing Formula 1 car updates, supporting aerodynamic experiments and wind tunnel testing, applying CAD to aerodynamic surfaces, and sharing technical insights with engineering colleagues. The role involves cross-department collaboration and contributes directly to race-car performance development.

Twelve-month industrial placement supporting simulation and testing of Formula 1 car systems, including hydraulics, cooling, brakes, suspension kinematics, and multi-body mechanical components. Responsibilities include analyzing components, running functional and performance calculations, improving designs, and collaborating with design, vehicle science, electronics, and production teams. Training is provided in relevant simulation tools.

Join a two-year graduate programme developing bespoke software, data pipelines, applications, tools, and integrations for Formula 1 engineering and operations. Collaborate with engineers and end users across areas including aerodynamics, vehicle dynamics, and vehicle performance. Work across the full software development lifecycle to gather requirements, build high-quality solutions, automate processes, analyze data, and improve systems supporting race-car design and performance.

Complete a 12-month Formula 1 industrial placement in Vehicle Engineering, designing power unit integration components from concept through fitted parts. Balance mass, stiffness, strength, and cost; support structural and functional calculations; collaborate with aerodynamics, chassis, electronics, test, manufacturing, and production teams; and investigate faults through to resolution.

Support Formula 1 race engineering, strategy, competitor analysis, and tyre performance across the full race cycle. Responsibilities include real-time data analysis, tool development, performance reporting, pit stop analysis, event engineering support, and communicating technical insights. The placement requires strong analytical, numerical, statistical, engineering, and coding skills, with opportunities to contribute to pre-event planning, trackside operations, and post-event analysis.

Graduate machine learning engineer building AI systems for Formula 1 vehicle performance, aerodynamics, race strategy, and operations. Responsibilities include training statistical and deep learning models, developing machine learning pipelines for simulation and data fusion, analyzing large datasets, and deploying models into car development workflows. The role involves cross-functional collaboration, hands-on engineering projects, and applying data science to real motorsport challenges.

Support Formula 1 performance development through vehicle simulation studies, simulator and rig testing, data analysis, performance metrics, and race support. The placement provides experience across vehicle dynamics, testing, software tools, and performance insight generation for current and future cars in a high-pressure collaborative environment.