Embedded Machine Learning Engineer, Interior Sensing (f/m/d)

Embedded Machine Learning Engineer, Interior Sensing (f/m/d)

Help shape the future of mobility.

Imagine a world with zero vehicle accidents, zero vehicle emissions, and wireless vehicle connectivity all around us. Every day, we move closer to making that world a reality.

Aptiv's passionate teams create advanced safety systems, high-performance electrification solutions and data connectivity solutions so that automakers can bring advanced capabilities to more people around the globe. This is how we enable sustainable mobility and help to prevent accidents caused by human error.

At Aptiv we design, develop, and validate systems to enhance the safety and comfort in the vehicle cabin. This includes the development of innovative software features and machine learning algorithms in the area of driver state sensing, seat occupancy monitoring, child presence detection, or hand gesture recognition using 2D and 3D cameras as well as other interior sensing technologies. Driver state sensing plays an important role not only to prevent road accidents caused by drowsiness or distraction of the driver, but also in the context of higher levels of automated driving, e.g. hand over scenarios.

• Deploying C/C++ machine learning applications on PC and embedded devices
• Writing high quality, tested and efficient software in C++ for our AI/ML SW Stack
• Performing neural network runtime optimization, e.g. quantization or pruning
• Optimizing scheduling of multiple neural network models across different device cores
• Working in an Agile SW development team (SCRUM) closely with Machine Learning Engineers, System Engineers, and SW engineers

• Master's degree in computer science, embedded systems, or related field
• Strong software development skills in C++. You have a passion for clean, well-tested, and well-documented code.
• Experience in integrating multiple SW modules into one system. Solid understanding of process scheduling, threading, pipelining, resource allocation.
• Knowledge in compute HW architectures: CPU, GPU, DSP, NPU, SoC, AI accelerators
• Fluent in English. Excellent written and verbal communication skills & interpersonal skills
• Practical experience with Linux, version control systems (Git), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)Preferred Qualifications:

• Background in image processing, computer vision, and multi-view geometry
• Practical experience with Linux, version control systems (e.g. Git, DVC), build systems (Make, CMake, Autotools) and code review tools (Gerrit, Gitlab, Bitbucket)

• Practical experience with automotive/robotics middleware, such as ROS, Adaptive AUTOSAR
• Practical experience with one or more neural network inference engines: ONNX Runtime, TensorRT, TFLite
• Solid understanding of artificial intelligence, model building and evaluation
• Solid knowledge in at least one common ML framework (PyTorch, Tensorflow,...)

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.

• Learning and professional development in an international environment
• Access to internal and external training, coaching, and certifications
• Recognition for innovation and excellence
• Health-focused benefits: health days, discounts at local gyms, and additional accident insurance
• Price deductions from providers like Samsung, Adidas, and Fitness First