ULS Technology Software Engineer

We are looking for a talented ULS Technology Software Engineer to join our innovative team. The ideal candidate will be an expert in Automotive ULS (Ultrasonic Level Sensing) technology, with extensive experience working with sensors at a low platform level. This role requires a deep understanding of the physics of ULS sensors, including their acoustic characteristics, as well as the ability to work with raw sensor data.

Key Responsibilities:

• Design, develop, and implement software solutions for ULS technology in automotive applications.
• Analyze raw data from ULS sensors (Ultra-sound sensors) to derive insights and ensure optimal sensor performance.
• Calibrate low-level sensor parameters to enhance accuracy and reliability, aligning with key performance indicators (KPIs).
• Develop and optimize data processing algorithms to improve sensor functionality and performance.
• Collaborate with cross-functional teams to integrate ULS technology into automotive systems effectively.
• Conduct experiments and simulations to validate sensor performance and refine calibration methods.
• Stay informed about the latest advancements in ULS technology and sensor development.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Physics, or a related field.
• Proven experience in automotive ULS technology and low-level sensor development.
• Strong understanding of the physics of ULS sensors (Ultra-sound sensors) , including thermal and acoustic characteristics.
• Proficiency in programming languages such as C/C++, Embedded, Python, MATLAB.
• Experience in data processing and algorithm development for sensor applications.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Qualifications:

• Experience with calibration techniques and performance optimization of ultrasonic sensors.
• Familiarity with automotive industry standards and regulations.
• Knowledge of machine learning techniques for sensor data analysis.