Automotive Software Machine Learning Developer

4 semanas atrás


Lisboa, Lisboa, Portugal Robert Bosch Group Tempo inteiro

Role Overview

We are seeking a highly skilled Machine Learning Engineer – Automotive Software to join our team at Robert Bosch Group. As part 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.

Key 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.
  • Work on continuous improvement of deployed models by processing large datasets and applying advanced machine learning techniques.
  • Stay updated with the latest advancements in AI, machine learning, and automotive technologies, incorporating new methods and tools into our products.

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.
  • Experience in algorithm development on perception features for ADAS systems.
  • Familiarity with edge computing and deploying AI solutions on automotive-grade hardware.
  • Previous work with large-scale automotive datasets and sensor data processing.
  • Ability to work in a fast-paced, collaborative team environment.
  • Strong problem-solving and analytical skills, with attention to detail.
  • Excellent communication skills, capable of explaining complex technical concepts to non-technical team members.

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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