Principal Machine Learning Engineer- Perception
MotionalFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The position requires 5–10 years of experience in ADAS, Radar, and Camera perception algorithm development.
Key skills include strong knowledge of sensor fusion techniques like Kalman Filter, JPDA, Extended KF, and Particle Filter; hands-on experience in Radar signal processing and camera image processing; and proficiency in MATLAB, Simulink, Python, and C/C++.
Aptiv offers hybrid and flexible working hours.
Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs, with a core value of safety aiming for zero fatalities, injuries, and accidents.
Benefits include hybrid and flexible working hours, higher education opportunities via UDACITY, UDEMY, COURSERA, life and accident insurance, Sodexo cards for food and beverages, and a Well Being Program.
Develops integrated systems for vehicles
Aptiv develops integrated vehicle systems for the automotive industry, focusing on software-defined vehicles. Their products help tackle challenges related to autonomous driving, vehicle electrification, and advanced safety features. Aptiv collaborates with major car manufacturers and other mobility stakeholders to enhance vehicle performance and safety through their technological solutions. Unlike many competitors, Aptiv emphasizes a partnership model, providing ongoing support and integration of their systems into vehicles. The company's goal is to improve the overall driving experience and safety in vehicles while advancing the future of mobility.