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RaceOn Tech Stack

Motorsport engineering and specialist recruitment for race teams

Engineering Services Dietmannsried, Bayern 11–50 employees Founded 2021 Public Company

RaceOn operates a two-sided model: recruiting and placing trackside engineers into racing programs, and building performance-optimization software for teams. The tech stack—Python, C++, MATLAB, PyTorch, TensorFlow, scikit-learn, SQL on AWS—signals a heavy simulation and ML focus, grounded in active projects around vehicle physics modeling, tire dynamics, and pit-stop strategy. The hiring mix (4 mid, 4 senior engineers across 8 roles) and pain-point pattern (real-time telemetry, visualization, simulation fidelity) indicate they're scaling the software side of the business while maintaining advisory services.

Tech Stack 10 technologies

Core StackMATLAB Python C++ scikit-learn PyTorch TensorFlow AWS Atlas SQL Git

What RaceOn Is Building

◆Challenges

Real-time telemetry analysis
Developing effective visualization tools
Optimizing pit stop strategies
Evolving simulation capabilities
Optimizing vehicle performance
Real-time decision support
Competitive advantage on race day

▲Active Projects

Simulation model validation
Simulator correlation improvement
Performance software tool development
Tyre physics model development
Technology research for model development
Visualization tool development
Pre-race simulation modelling
Pit stop strategy management
High-fidelity vehicle physics models
Real-world data validation

Hiring Activity

Steady8 roles · 3 in 30d

Department

Engineering

8

Seniority

Mid

4

Senior

4

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About RaceOn

RaceOn is a German motorsport consultancy founded in 2021, based in Dietmannsried, Bavaria. The company operates two integrated businesses: a specialist recruitment and headhunting service placing engineers into race teams across Europe, Asia, the US, Canada, and Latin America; and an in-house engineering software practice building simulation, telemetry analysis, and strategy-optimization tools. The team brings trackside experience across disciplines including formula racing, electric racing, vehicle dynamics, and systems engineering. Current focus spans simulator validation and correlation, high-fidelity physics modeling, real-time data visualization, and pre-race simulation workflows.

HeadquartersDietmannsried, Bayern

Company Size11–50 employees

Founded2021

Hiring MarketsGermany, United States

Frequently Asked Questions

What tech stack does RaceOn use?

Python, C++, MATLAB, PyTorch, TensorFlow, scikit-learn, SQL, Git, and AWS. The mix reflects deep simulation modeling and machine-learning work around vehicle dynamics and tire physics.

What is RaceOn working on?

Core projects include simulation model validation, tire physics modeling, vehicle dynamics simulation, real-time telemetry analysis, pit-stop strategy optimization, and visualization tools for race teams.