<h3><strong>Role Description:</strong><br></h3><p>Do you want to work in an innovative and inclusive culture where your contributions serve a greater purpose? Are you skilled in algorithm development, C++ implementation, testing, and deployment? If so, this could be the perfect opportunity for you! Here, you’ll work with cutting-edge technology, making cars smarter and safer with the ultimate goal of reducing traffic accidents. Your work can be tested in vehicles—sometimes on the very same day!</p><p><strong>About the Team:</strong><br>The team focuses on map-based road estimation for Advanced Driver Assistance Systems (ADAS) and Autonomous Driving (AD). The goal is to locate the vehicle within high-definition maps using sensors such as cameras, lidar, and GNSS. This localization is critical for planning vehicle trajectories, enabling autonomous driving functionality.</p><p>The team consists of five highly skilled developers working pragmatically and data-driven in an agile and hybrid environment.</p><p><strong>Example Responsibilities:</strong></p><ul><li>Develop and evaluate high-performance and safety-critical signal processing algorithms for ADAS and AD features.</li><li>Manage the entire product development lifecycle, from requirement analysis and system design to implementation and testing.</li><li>Write and review C++ production code in a Linux environment, adhering to safety-critical standards.</li><li>Conduct testing, including vehicle-based tests, to ensure functionality and quality.</li><li>Participate in forums and discussions shaping the product’s future direction.</li><li>Develop Python tools to monitor and evaluate algorithm performance.</li></ul><p><strong>Requirements and Qualifications:</strong></p><ul><li>Strong C++ programming skills and experience developing complex real-time algorithms.</li><li>Background in signal processing and localization algorithms such as Kalman filtering.</li><li>Proficiency in Python and experience with embedded systems development.</li><li>Understanding of software architecture, test strategies, and data-driven performance evaluation.</li><li>Familiarity with continuous integration and tools such as Git, Gerrit, and Jenkins.</li><li>Degree in computer science, software engineering, electrical engineering, or a related field (M.Sc. or B.Sc.).</li></ul><p><strong>Nice-to-have:</strong></p><ul><li>Knowledge of functional safety and safety-critical systems.</li><li>Experience with agile methodologies and a strong quality mindset.</li></ul><p><strong>Practical Information:</strong></p><ul><li><strong>Assignment Length:</strong> ASAP to 2025-12-31</li><li><strong>Location:</strong> Hybrid</li></ul> •
Last updated on Dec 23, 2024