SW Algorithm Developer || Rochester Hills, MI (Onsite)

Job Summary:
We are seeking a talented Senior Algorithm Developer to join our team and contribute to cutting-edge in-cabin occupant monitoring systems using Radar RFIC data. This position requires collaboration with cross-functional teams and system engineering stakeholders to gather information, direction, and will design, implement, and optimize algorithms for in-cabin occupant monitoring systems for advanced vehicle safety and occupant comfort features.
Key Responsibilities:
Develop and optimize algorithms for detecting and monitoring occupants within a vehicle cabin using Radar RFIC data.
Collaborate with hardware and software engineering teams to integrate algorithms into existing and new systems.
Analyze radar data to develop models for occupancy detection, activity recognition, and safety feature enhancement.
Stay up-to-date with the latest advancements in radar technology and machine learning techniques to continuously improve algorithm performance.
Document algorithm designs, implementation processes, and performance results for internal and external stakeholders.
Mentor junior developers and provide technical guidance in algorithm development and data analysis.
Master’s or Ph.D. degree in Electrical Engineering, Computer Science, Applied Mathematics, or a related field.
At least 5 years of experience in algorithm development, with a focus on radar signal processing and data analysis.
Experience with occupant monitoring Systems and automotive safety features.
Knowledge of radar signal processing techniques like configuring radar parameters, data acquisition, preprocessing, filtering and feature extraction.
Knowledge of sensor fusion techniques and integration of radar with other in-cabin sensors (e.g., cameras, infrared sensors).
Familiarity with automotive industry standards and regulations for in-cabin monitoring systems.
Understanding of radar principles and technologies, especially in automotive electronics applications.
Experience with machine learning techniques and tools, such as TensorFlow or PyTorch.
Proficiency in programming Languages such as Python, and C/C++.
Skills in testing and debugging hardware and software components.
Use of Integrated Development Environments (IDEs) for software development (e.g., Code Composer Studio). Familiarity with version control systems like Git.
Proficiency in using simulation tools like MATLAB for signal processing and analysis

Thanks And Regards
Ahtesham Khan