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.