He[a]t - Senior Engineer, Perception
2 weeks ago
Tasks
- Development of software algorithms using data of sensors for the perception of driverless vehicles.
- Create software algorithms processing data from camera, radar and laser sensors.
- Combine sensor data into holistic representation of the vehicles environment leveraging sensor fusion and environmental model solutions.
- Extract perception requirements from operational scenarios of driverless vehicles. Turn them into sensor line-up and extraction algorithm strategies.
- Collaborate and exchange of experiences with Continental worldwide perception team to achieve synergy, improve perception capabilities and cover more operational areas of driverless vehicles.
- Development of perception solutions for asset relative navigation, object detection and tracking, sense and avoid, and navigation in cluttered environments.
- Push the boundaries in terms of scenarios and features and reflecting them in test campaigns.
**Qualifications**:
- Min Degree in Electrical Engineering, Computer Science or comparable qualification
- Knowledge and hands-on experience in raw data processing, computer vision and sensor fusion using e. g. camera, lidar, radar data
- Background in Artificial Intelligence technologies (Deep Learning) is required.
- Knowledge in software architecture methods and object-oriented programming languages (e. g. Python, C++).
- Experienced in systematic problem-solving.
- Strong analytical skills.
About us
Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2020, Continental generated sales of €37.7 billion and currently employs more than 192,000 people in 58 countries and markets. On October 8, 2021, the company celebrated its 150th anniversary.
Keyfacts
Job-ID
209900BR
Function
Engineering
Nice to know
Continentals Spezialisten aus unterschiedlichen Disziplinen treiben den Trend des Automatisierten Fahrens mit aller Innovationskraft voran.
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