Job Description
High-level Team context:
At APTIV, we design, develop, and validate systems to improve safety and comfort in vehicles. This includes the development of innovative computer vision features and machine learning algorithms for interior and exterior cameras. Examples of features are vehicle and pedestrian detection, lane and traffic sign recognition, driver drowsiness sensing, seat occupancy monitoring, child presence detection, and hand gesture recognition.
APTIV is a global leader in camera 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 to shape the future of mobility with us.
Machine Learning Architect

Role:
61 Develop an ML Architecture for L2++ ADAS applications
61 Develop hybrid Edge and Cloud Architecture from Perception to Mapping
61 Architect ML Fusion Concepts for Radar and Vision for BEV Perception to Swarm Data Collection
61 Combine ML methods with traditional SLAM / SfM methods
61 Define scalable MLOps architecture
61 Conduct research on the latest technologies in computer vision, SLAM, and machine learning.
61 Ensure the architectural integrity and scalability of SLAM solutions in cloud platforms.
61 Participate in code reviews and adhere to software development best practices.
61 Defining and continuously improving machine learning workflows based on best practices in the industry and establishing them within the team
61 Filing patent applications to strengthen the APTIV IP footprint
61 Working in an Agile SW development team

Required Qualifications:
61 Master's degree + 3 years of relevant experience or PhD degree in computer science, electrical engineering or related field.
61 Expert knowledge in ML Designs / Architecture
61 Expert knowledge in different BEV Architecture
61 Understanding of AWS Cloud infrastructure
61 Expert Knowledge in ADAS and Autonomous Driving Architecture
61 Strong software development skills in Python and optionally C++ and Rust.
61 Experience with sensor fusion and real-time systems.
61 Publications in relevant conferences or journals.
61 Experience with GPU programming and optimization.
61 Deep understanding of artificial intelligence, model building and evaluation
61 Expert knowledge in at least one common ML framework (PyTorch,…)
61 Practical experience with Linux, version control systems (Git), build systems (CMake, Bazel) and code review tools (Gerrit, Gitlab, Bitbucket)
61 Fluent in English. Excellent written and verbal communication skills & good interpersonal skills