Help shape the future of mobility.
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.
Aptiv is a leader for in-cabin sensing technology and a well-established supplier of sensing and compute hardware as well as software solutions. In this fast growing and innovative technology area you would be working in an international team of computer vision and machine learning experts and software developers to shape the future of mobility with us.
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Your Tasks
- 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
- Porting neural networks to embedded platforms, including e.g. quantization or pruning, and performing neural network runtime optimization
- 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
Your Background:
Required Qualifications:
- 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:
- 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, ArmNN, TVM
- Solid understanding of artificial intelligence, model building and evaluation
- Solid knowledge in at least one common ML framework (PyTorch, Tensorflow,...)
Aptiv Benefits:
- Our working style: flexible work environment
- Learning, professional growth and development in a world-recognized international environment.
- Access to internal & external training, coaching & certifications.
- Recognition for innovation and excellence.
- Opportunities to give back to the community
Why join us?
- 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
Apply today, and together let's change tomorrow!
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Privacy Notice - Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates
Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.