Automotive Software Machine Learning Engineer Position

2 semanas atrás


Lisboa, Lisboa, Portugal Robert Bosch Group Tempo inteiro

Job Overview: We are seeking a highly skilled Machine Learning Engineer to join our team at Bosch Security Systems. As a member of our AI and machine learning group, you will develop state-of-the-art models that enable intelligent decision-making related to vehicle exterior and interior perception based on IMUs, microphones, and air sensors.

Responsibilities:

  • Design, develop, and deploy machine learning models for ADAS and real-time monitoring in vehicles.
  • Implement algorithms for environment perception using data from IMUs, cameras, and radar.
  • Develop sensor fusion techniques to integrate data from multiple sensors and improve overall vehicle perception and safety.
  • Collaborate with software and hardware teams to optimize machine learning algorithms for real-time, embedded automotive systems.
  • Conduct extensive testing and validation of models using simulation tools and real-world datasets under various driving scenarios.

Requirements:

  • Bachelor's or master's degree in computer science, Electrical Engineering, or a related field (PhD is a plus).
  • 3+ years of hands-on experience in developing machine learning models for real-time systems, preferably in automotive or related industries.
  • Strong proficiency in Python and C++ with experience using machine learning frameworks (e.g., TensorFlow, PyTorch, OpenCV).
  • Familiarity with sensor technologies such as inertial sensors, LIDAR, radar, cameras, and the integration of their data.
  • Knowledge of ADAS and embedded systems for real-time machine learning.
  • Experience with optimization techniques for deploying machine learning models on resource-constrained devices.

What We Offer:

  • Challenges in an international environment.
  • Career opportunities in one of the best companies in the world.
  • Flexible hours.
  • Medical services.
  • Discounts for employees.
  • Sports and health-related activities.
  • Canteen.
  • Good access to public transports.
  • Space for creativity.


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