Description

You will design and develop algorithms for automotive driver assistance systems with a focus on ultrasonic sensing.

This role is on-site.

Responsibilities

• Own the ultrasonic signal processing component from driver-level processing to end-to-end object points estimation.
• Develop and optimize mathematical modeling for echo processing, tracking, and stochastic code firing patterns for sensor arrays.
• Lead the training, evaluation, and testing of deep learning pipelines for ultrasonic data processing.
• Build simulation features for the ultrasonic perception stack within simulation environments.
• Debug the software pipeline and mentor team members on algorithm development and software engineering practices.

Required Skills

• 8-12 years of experience in algorithm development for ADAS, specifically focusing on ultrasonic sensing systems.
• 8+ years of specialized experience in computer vision and machine learning.
• Proficiency in C/C++ and Python.
• Strong background in algorithm design for automotive systems.
• Experience with ultrasonic sensor arrays and signal processing.
• Ability to design mathematical models for echo processing and tracking.
• Experience developing deep learning algorithm pipelines.

Preferred Skills

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.

Key Skills

Education

Any Graduate