Signal Processing and ML Engineer
Are you passionate about the intersection of classical signal processing and deep learning? Do you want to use raw radar data to define the future of sports metrics?
Trackman is looking for a Signal Processing and ML Engineer to become one of our key engineers in evolving our radar tracking system in everything from traditional real time signal processing to advanced neural network-based architectures. If you are an experienced Signal Processing engineer who loves building production-grade solutions, we want to hear from you.
Trackman has led the world in sports tracking technology since 2003. We develop innovative solutions that integrate computer vision, radar technologies, and advanced mathematical models. Our products are used by the world's top athletes, and the solution must meet the highest standards of accuracy, performance, and reliability.
The Role
As a Signal Processing and ML Engineer, you will work across the entire radar tracking stack from signal acquisition and real-time tracking algorithms to Python analysis tooling and ML model deployment. You will have full ownership of the solution from design to final release. Additionally, you will conduct statistical analysis to verify performance, identify subtle biases, and ensure our solutions deliver industry-leading accuracy across all conditions.
The Team
You will be a part of a R&D team called Golf Launch Monitors. The team is responsible for designing, building, and maintaining high-quality golf launch monitor solutions. The team consists of specialists in radar signal processing, computer vision, mathematical modeling, and software engineering. The team is committed to excellence, where we constantly push boundaries to ensure our performance stays ahead of the curve.
Key Responsibilities
Real-time signal processing: FFT pipelines, noise floor estimation, peak detection, tracking filters, beamforming, ambiguity resolution among other things.
Algorithm Design: Develop and optimize signal processing chains that combine classical techniques with neural networkarchitectures for feature detection.
Data-Driven Discovery: Use statistical methods to identify edge cases in real-world sports data and refine our models to handle complex environmental scenarios.
Statistical Validation: Perform deep-dive statistical analysis on massive datasets to validate accuracy and ensure our products meet strict performance benchmarks post-release.
Collaborative Engineering: Partner with other teams on everything related to hardware and sensor performance, software structure and deployment and proper QA testing.
Requirements
Education: MSc or PhD in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or related fields.
Experience: 3+ years of full-time professional experience in signal processing (Radar, Sonar, Audio, …) with practical exposure to production ready code.
Statistical Mastery: Strong ability to analyze data in a statistical way—understanding distributions, error margins, and hypothesis testing to verify system accuracy.
Software Engineering: 3+ years of full-time professional experience in at least one programming language building high-performance and production-level code.
Mathematical Depth: Deep understanding of linear algebra, stochastic processes, and DSP fundamentals.
Machine learning: Experiment with training models and optimizing inference for runtime performance.
Mindset: A "first principles" person who is not afraid to dive deep into the raw data to find the "why" behind the numbers.
The Office
We are located at DTU Science Park in Hørsholm. We take great pride in the state-of-art building we have designed! The office features bright meeting rooms, coffee areas to catch up with colleagues, a large testing arena with simulators available for employees and a fitness center, everything surrounded by a beautiful forest and respecting the environment. We made sure to utilize the newest technologies to be energy efficient and be mindful of ventilation and sound propagation. The cherry on top is our canteen: with an indoor and outdoor area to enjoy the fresh food prepared by our own kitchen staff.
Join the home of a powerful sports brand and a one-of-a-kind technology
Our proprietary technology is based on expert knowledge about radar, computer vision, data, and software engineering. Our solutions are developed by specialists who endlessly explore and challenge new technical boundaries. Trackman’s blend of cutting-edge technology, sports, and continued growth make our company an outstanding place to work.
Our work culture is entrepreneurial, ambitious, and rewarding as you get to collaborate with inspiring colleagues and interact with the leaders of golf, baseball, and football. Based on a unique brand reputation, we are proud to work in close partnership with the top athletes, organizations, and teams that rely on our technology to stay ahead of the race.
We are a Danish company founded, owned, and managed since 2003 by three entrepreneurs with a strong passion for sports. Today, we have a global footprint with our headquarters located in Denmark (Hørsholm) and offices in New York, Phoenix, Seoul and Tokyo. We employ over 1000+ people worldwide, half of which work in Denmark, where most hardware and software products are developed, tested, and manufactured.
Where innovation happens
At Trackman, we know that great people make great products. We believe that teams thrive, and innovation sparks in an atmosphere where people are encouraged to think for themselves, where everybody’s voices are heard, and where the best ideas prevail in the pursuit of exceptional solutions. This mix makes Trackman an inspiring company – for our customers and colleagues.
Share our Passion!
Applications are continuously assessed, so please send your application as soon as possible.