Aptiv - ADAS Algorithm Developer - Collison Fusion

Description :

We are seeking a highly skilled ADAS Algorithm Developer specializing in Collision Fusion to join our advanced automotive engineering team. The ideal candidate will be responsible for developing, optimizing, and validating collision fusion and sensor fusion algorithms for next-generation ADAS and autonomous driving systems.

The candidate should possess strong expertise in perception systems, object tracking, sensor fusion, real-time embedded systems, and automotive software development. This role involves working closely with cross-functional teams to build reliable and safety-critical ADAS solutions for global automotive platforms.

Key Responsibilities :

1. Collision Fusion

2. Sensor Fusion

3. Object Detection & Tracking

4. Collision Avoidance

5. Time-to-Collision (TTC)

6. Path Prediction

7. Obstacle Detection

8. Vehicle Motion Estimation

- Develop fusion frameworks using data from :

1. Radar

2. Camera

3. LiDAR

4. Ultrasonic Sensors

5. GPS/IMU

- Implement and optimize perception algorithms for real-time automotive systems.

- Develop and tune Kalman Filters, Extended Kalman Filters (EKF), and probabilistic fusion models.

- Perform sensor synchronization, latency optimization, and timing analysis.

- Collaborate with software, systems, validation, and hardware teams for integration activities.

- Conduct simulation, testing, debugging, and performance optimization of algorithms.

- Support SIL, HIL, MIL, and vehicle-level validation activities.

- Analyze large-scale driving data and improve algorithm accuracy and robustness.

- Participate in architecture discussions, code reviews, and technical design activities.

- Ensure compliance with automotive quality and safety standards.

- Prepare technical documentation, design specifications, and validation reports.

Required Technical Skills :

Programming & Development :

1. C++

2. Python

3. Embedded C

4. MATLAB/Simulink

- Strong understanding of data structures, algorithms, and object-oriented programming.

- Experience in real-time embedded software development.

ADAS & Sensor Fusion :

- Sensor Fusion

- Collision Detection Algorithms

- Object Tracking

- Motion Prediction

- Radar Fusion

- Camera Fusion

- LiDAR Processing

- Perception Systems

Knowledge of :

- Kalman Filters

- Extended Kalman Filters (EKF)

- Bayesian Estimation

- State Estimation Techniques

Automotive & Embedded Systems :

- ADAS Architectur e

- Embedded Systems

- Automotive ECUs

- Real-Time Operating Systems

- Vehicle Dynamics

Familiarity with automotive communication protocols :

- CAN

- CAN FD

- Automotive Ethernet

Tools & Platforms :

- MATLAB/Simulink

Preferred Skills :

- Experience in AI/ML-based perception systems.

- Exposure to Deep Learning frameworks such as TensorFlow or PyTorch.

- Knowledge of computer vision and image processing techniques.

- Familiarity with autonomous driving simulation environments.

- Understanding of ISO 26262 and ASPICE processes.

- Strong debugging, analytical, and problem-solving skills.

- Excellent communication and teamwork abilities.