Hybrid Autonomous Driving Engineer – R&D

Über das Unternehmen

Pöttinger Landtechnik GmbH is a renowned Austrian family-owned company specializing in agricultural machinery. With a rich history of innovation, we are dedicated to developing cutting-edge solutions that empower farmers worldwide. Our commitment to sustainability, efficiency, and advanced technology drives us to explore new frontiers, including autonomous systems for the future of agriculture. Join us in shaping the next generation of intelligent farm machinery.

Stellenbeschreibung

We are seeking a highly motivated and skilled Hybrid Autonomous Driving Engineer to join our dynamic R&D team. In this pivotal role, you will be instrumental in designing, developing, and integrating advanced autonomous driving systems for our next-generation agricultural machinery. You will work on a hybrid approach, combining traditional rule-based algorithms with state-of-the-art machine learning and artificial intelligence techniques to create robust, reliable, and safe autonomous solutions. This is an exciting opportunity to contribute to the future of smart farming technology in a collaborative and innovative environment.

Hauptverantwortlichkeiten

• Design, develop, and implement algorithms for perception, localization, path planning, and control in autonomous agricultural vehicles.
• Integrate and test various sensor modalities (Lidar, Radar, Camera, GNSS, IMU) for environmental perception and fusion.
• Develop and evaluate hybrid autonomous driving solutions, leveraging both classical robotics and AI/ML approaches.
• Perform software development in C++ and Python for embedded systems and simulation environments.
• Conduct system-level testing, validation, and debugging of autonomous driving functionalities in simulation and on real hardware.
• Collaborate closely with cross-functional teams including hardware engineers, mechanical engineers, and product managers.
• Stay abreast of the latest advancements in autonomous driving technology, machine learning, and robotics.
• Contribute to the architecture design and code review processes to ensure high-quality software.

Erforderliche Fähigkeiten

• Proficiency in C++ and Python programming.
• Strong understanding of robotics principles, including kinematics, dynamics, and control systems.
• Experience with sensor fusion techniques (e.g., Kalman Filters, Extended Kalman Filters).
• Familiarity with autonomous driving stacks (e.g., ROS, Apollo, Autoware).
• Solid knowledge of machine learning fundamentals and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with perception algorithms (object detection, segmentation, tracking).
• Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related field.

Bevorzugte Qualifikationen

• PhD in a relevant field.
• Experience with functional safety standards (e.g., ISO 25119, ISO 13849).
• Prior experience in the automotive, off-highway, or agricultural machinery industry.
• Knowledge of GPU computing and optimization techniques (e.g., CUDA).
• Experience with cloud platforms (AWS, Azure, GCP) for data processing and model training.
• Proven track record of deploying autonomous systems in real-world applications.

Vorteile & Zusatzleistungen

• Competitive salary and performance-based bonuses.
• Flexible working hours and work-life balance initiatives.
• Comprehensive health and wellness programs.
• Opportunities for professional development and continuous learning.
• Modern R&D facilities with state-of-the-art equipment.
• A collaborative and innovative company culture.
• Employee discounts and social events.

Jetzt bewerben