(Senior) Software Engineer - Algorithms for Autonomous Driving (m/f/d)

Responsibilities

• Develop cutting‑edge perception algorithms for autonomous driving, utilizing computer vision techniques and sensor fusion with modalities such as Cameras, RADAR, LiDAR.
• Write C++ software for motion planning and control algorithms on real‑time, embedded compute platforms.
• Collaborate with multidisciplinary software engineers covering areas from AI perception & navigation to RTOS and middleware.
• Architect the embedded software stack for high‑performance SoC‑based compute platforms and collaborate with SoC vendors to drive feature development and resolve issues.
• Utilize modern development toolchains—testing, hardware‑in‑the‑loop (HIL) testing, simulation, and continuous integration—to enable efficient development cycles.
• Engage in machine‑learning‑focused development, including data pipelines, model development, training, and iterative improvements.
• Collaborate with cross‑functional teams to define requirements, set objectives, and establish project timelines for advanced perception technologies.

Qualifications

• A degree (Bachelors, Masters, or PhD) in Mechatronics, Robotics, Computer, Electronic, Electrical Engineering, or related fields.
• Experience developing perception & localization algorithms, computer vision techniques, calibration, mapping, and sensor fusion for autonomous vehicles or related applications.
• Relevant experience in C++ software development and familiarity with modern coding standards (e.g., C++20) and tools & frameworks such as ROS, TensorRT, CUDA, OpenCL, OpenCV.
• Experience developing innovative computer‑vision solutions for sensors such as camera, LiDAR, radar, or other robotics applications.
• Experience working with prominent SoCs from manufacturers such as Qualcomm, NXP, Renesas, NVIDIA, etc., and in real‑time embedded operating systems like Linux, QNX, or similar.
• Excellent interpersonal and communication skills, with the ability to collaborate effectively.