Senior Software Engineer (Systems/Platform)
Are you driven by designing robust software architecture and solving complex system-level challenges in high-performance, real-time environments? Do you want to build systems that turn raw sensor data into precise and real-time metrics that golfers and broadcasters rely on?
At Trackman, we combine radar technology, computer vision, and data intelligence to redefine how golf is played, practiced and experienced. From local golf clubs to live TV broadcasts, our products set the global standard for accuracy, performance, and innovation.
We are looking for an experienced Software Engineer to play a central role in architecting and evolving the software systems behind Trackman Range and Golf Broadcast.
In this role, you will design and own key parts of our real-time data processing platform, ensuring it is scalable, maintainable, and performant under demanding conditions. You will work at the intersection of software engineering and applied algorithms, translating mathematical models and signal-processing concepts into robust, production-grade systems.
You will be responsible for system-level design decisions, improving software architecture, and driving engineering quality across the codebase. This includes diagnosing complex system behavior, addressing performance regressions, and ensuring high standards of reliability, testability, and maintainability.
The Ideal Candidate Has
A master’s degree or Ph.D. in Computer Science, Electrical Engineering, Applied Mathematics, or a related field
Strong expertise in C++ and Python, with a track record of building high-performance, production-grade systems
Experience designing and owning scalable software architectures and real-time data processing pipelines
Strong understanding of performance engineering, multi-threading, and system-level debugging (e.g., concurrency issues, performance regressions)
Experience driving code quality, testing, CI/CD, and managing technical debt in production systems
Experience with Linux-based systems for development, deployment, and debugging of distributed applications
Experience with Docker for containerization and orchestration of those applications
5+ years of relevant experience with ownership of critical systems or components
Other Valued Experience
Radar technology, signal processing, numerical algorithms and sensor fusion
Computer vision, tracking, and camera calibration
Deep learning model implementation and optimization
Real-time camera and video systems, including stream handling, data capture and encoding/decoding
GPU acceleration and performance profiling
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 surround