Algorithm Engineer

Steneg; Germany (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

A technology company is seeking an Algorithm Development Engineer to design and implement algorithms for sensor-based applications, focusing on optical and Time-of-Flight technologies. The ideal candidate will have a master's degree in a related field and at least 5 years of experience in algorithm development and data analysis, with proficiency in Python or MATLAB. This role offers an exciting opportunity to contribute to innovative sensing platforms.

Qualifications

• Master's degree in a relevant field.
• 5+ years of experience in algorithm development.
• Proficiency in Python and/or MATLAB.

Responsibilities

• Design, implement, and validate algorithms for sensor systems.
• Perform exploratory and statistical analysis of datasets.
• Support cross-functional teams in translating requirements.

Skills

Algorithm development

Data analysis

Python

MATLAB

Statistical methods

Signal processing

Education

Master’s degree in Data Science, Computer Science, Mathematics, Physics

Job description

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.

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