Stellantis

Senior Software Engineer – Perception – Radar / Machine Learning

Casablanca

CDI / Temps pleinSur siteLicence / Bac+3Informatique / IngénierieAutomobile

L’essentiel du poste

Résumé par Postule AI

Stellantis is hiring a Senior Software Engineer for the Perception and Fusion team in its AI/Autonomous Driving division, based in Casablanca, Morocco. The role focuses on developing Radar perception and fusion using traditional and ML approaches, supporting model deployment on Stellantis vehicles, and working with DevOps, MLOps and cross-functional teams. Minimum requirements include a bachelor's degree in a quantitative field, 1+ years of Radar perception or Radar/Camera fusion experience, 1+ years of perception/robotics ML projects, and 3+ years of object-oriented programming with frameworks such as TensorFlow or PyTorch.

Vos missions

  • Investigate and develop Radar perception and fusion using both traditional and ML approaches.
  • Support the optimization and deployment of these models on Stellantis vehicles.
  • Support Radar sensor engineering by analyzing and evaluating product performance against Stellantis perception requirements.
  • Proactively support the DevOps and MLOps teams with feedback and suggestions to improve the software pipeline.
  • Work cross-functionally to understand and solve challenges related to Perception systems in Autonomous Driving.

Profil recherché

  • You have hands-on experience with Radar perception or Radar/Camera fusion algorithms.
  • You have experience with perception or robotics machine learning projects.
  • You are proficient in object-oriented programming (e.g., Python and/or C++) and ML frameworks such as TensorFlow or PyTorch.
  • You enjoy solving unstructured problems and follow good software engineering practices.
  • You are curious and entrepreneurial and want to help transform Stellantis into a software automotive company.

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Mission

Stellantis is looking for technology game changers to transform the company into a software automotive company. Its new AI/Autonomous Driving division is building the core functionalities that allow vehicles to perceive the world around them and make the right decisions in every situation.

The Team

The Perception and Fusion team within AI/AD works on complex technical challenges across perception areas, including Radar, Lidar, 3D Computer Vision, classification, semantic segmentation, early and late fusion, prediction and tracking. The team applies the latest state-of-the-art algorithms and works with a kind, dynamic and diverse team across the world.

Responsibilities

  • Investigate and develop Radar perception and fusion using both traditional and ML approaches.
  • Support the optimization and deployment of these models on Stellantis vehicles.
  • Support Radar sensor engineering by analyzing and evaluating product performance against Stellantis perception requirements.
  • Proactively support the DevOps and MLOps teams with feedback and suggestions to improve the software pipeline.
  • Work cross-functionally to understand and solve challenges related to Perception systems in Autonomous Driving.

Minimum Qualifications

  • Bachelor's degree in a quantitative field.
  • 1+ years of hands-on Radar perception and/or Radar/Camera fusion algorithms experience.
  • 1+ years of experience in perception/robotics Machine Learning projects.
  • 3+ years of object-oriented programming (e.g., Python and/or C++) and experience with popular ML frameworks (e.g., TensorFlow, PyTorch).
  • Advocate for software engineering good practices (e.g., test-driven development, version control, documentation).
  • Passion for solving unstructured problems.

Preferred Qualifications

  • M.Sc. or Ph.D. in Robotics, Computer Vision, Computer Science, Machine Learning, or similar.
  • Experience in multi-sensor perception and fusion, mobile robotics (e.g., ROS), 3D visualization, distributed systems, embedded systems for ADAS, and mapping.
  • Experience implementing the latest deep learning applied research to build proof of concept and prototypes.

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