Senior Algorithm Engineer - Sensor & ToF Systems

A global leader in sensor-driven innovation, this technology company develops advanced optoelectronic solutions for a wide range of industries. Specializing in data-rich environments and embedded sensing platforms, their work spans consumer electronics, automotive, healthcare, and industrial automation. With strong foundations in physics, photonics, and signal processing, the company integrates sensor hardware and algorithmic intelligence to deliver high-performance, real-time applications across demanding markets.

Berufserfahrung und Qualifikationen sind für diese Stelle zwar von entscheidender Bedeutung, doch sollten Sie sich vor der Bewerbung vergewissern, dass Sie über die gewünschten Soft Skills verfügen, falls erforderlich.

Mission

The Algorithm Development Engineer will play a key role in designing and implementing advanced algorithms for sensor-based applications, with a focus on optical and Time-of-Flight (ToF) technologies. The engineer will drive the full lifecycle of algorithm development—from data exploration and modeling to prototyping, optimization, and integration into real-world systems. This role combines scientific rigor with engineering execution, contributing to the performance, reliability, and scalability of next-generation sensing platforms.

Responsibilities

Algorithm Design and Validation

• Design, implement, and validate signal and data processing algorithms for optical and ToF sensor systems.

• Apply statistical modeling, numerical analysis, and machine learning techniques to extract meaningful information from sensor data.

• Optimize algorithms for real-time performance, scalability, and deployment in embedded environments.

Data Analysis and Evaluation

• Perform exploratory and statistical analysis of complex datasets (large and small).

• Develop simulation environments and testing procedures to evaluate algorithm robustness and system behavior.

System Integration and Support

• Support cross-functional teams in translating application requirements into functional algorithmic solutions.

• Document algorithmic assumptions, methodology, and results to ensure reproducibility and maintainability.

• Contribute to porting and optimizing algorithms in C/C++ for embedded platforms (if applicable).

Required Qualifications

• Master’s degree in Data Science, Computer Science, Mathematics, Physics, or a related field.

• Minimum 5 years of experience in algorithm development, data analysis, or applied research.

• Proficiency in Python and/or MATLAB for algorithm development, simulation, and data processing.

• Strong background in statistical methods, signal processing, and numerical computing. xayajpt

• Experience working with diverse datasets and sensor data, including Time-of-Flight systems.