Computer Vision Engineer

Are you looking for a role where you can combine theoretical computer vision, hardware integration, and robust software development?

Trackman is looking for a Computer Vision Engineer to join our Golf Launch Monitor R&D team. You will join the team in building high-precision tracking systems engineered to perform reliably in challenging environments and satisfy the highest requirements of elite athletes.

Whether you are a recent graduate or have a couple of years of experience in electrical engineering, computer science, embedded/mechatronics, or related fields, this is an opportunity to build deep technical expertise while working hands-on with some of the most challenging problems in computer vision and sensor technology.

Since 2003, Trackman has been on the forefront of sports tracking technology,combining high-speed cameras, radar,and applied physics. Our products are used daily by professional athletes, coaches, club fitters, and broadcasters worldwide. Staying at the forefront requires more than developing new technology. It means continuously improving, testing, and hardening existing systems, so they work flawlessly every single day in real-world conditions.

The Role

As a Computer Vision Engineer, you will work across the development lifecycle: running feasibility studies on new optical sensors, helping design real-time tracking pipelines, and taking pride in diagnosing, maintaining, and improving products across demanding deployment environment.

We are looking for motivated engineers who pair a strong theoretical academic foundation with the practical instinct to roll up their sleeves, diagnose tricky integration bottlenecks, and build technology that works.

You will join the Golf Launch Monitors R&D team, a highly skilled, multidisciplinary group of specialists working across computer vision, radar signal processing, mathematical modeling, and software engineering. We are committed to excellence and operate with a first-principles mindset, constantly pushing physical and computational boundaries to ensure our tracking accuracy remains the global benchmark. 

Key Responsibilities

• Sensor & Hardware Integration: Evaluate next-generation camera sensors, optical setups, and custom illumination; diagnose hardware/software interface edge cases (e.g., latency, frame drops, synchronization).

• Algorithm & Pipeline Design: Develop, tune, and profile real-time 2D/3D vision tracking and calibration algorithms capable of handling all kinds of challenging cases.

• Production Engineering & Maintenance: Write clean, testable C++ and Python code. Maintain, refactor, and harden existing production codebases to ensure long-term stability and high uptime.

• Field-Data Validation: Analyze real-world datasets collected across challenging environments to identify vulnerabilities, eliminate subtle tracking bugs, and continuously raise tracking accuracy.

• Cross-Functional Collaboration: Partner with hardware, firmware, and QA teams to translate ambiguous physical challenges into reliable, deployable software solutions.