Systems & Applications Engineer

We are seeking a skilled and experienced Embedded Software Engineer to join our team in developing cutting-edge robotic and AI-based solutions for the automotive industry. In this mid-level role, you will play a key part in designing, implementing, debugging, and optimizing software and hardware systems that power intelligent autonomous technologies. You will work with a diverse set of sensors and embedded platforms, contributing to real-world autonomous driving features., * Design, develop, and optimize algorithms for robotics applications, with a focus on ADAS features (AEB, ACC, etc.), sensor calibration, and radar-based AI solutions.

• Implement and debug software in C++ and Python for embedded and real-time systems.
• Work with ROS/ROS2 to develop modular, scalable, and reusable robotics software stacks.
• Integrate and interface with sensors such as radar, LiDAR, cameras, and IMUs, ensuring proper calibration and data fusion.
• Develop networking solutions for real-time communication between ECUs, sensors, and compute nodes (Ethernet, CAN, UDP/TCP).
• Collaborate with cross-functional teams to integrate software with hardware platforms, ensuring system stability and performance.
• Perform in-depth debugging and troubleshooting of embedded systems, including performance profiling and root-cause analysis.
• Support system-level testing, validation, and documentation of robotic and AI modules.
• Contribute to code reviews, architecture discussions, and best practices for software quality.

• Bachelor's or Master's degree in Robotics, Computer Engineering, Electrical Engineering, Computer Science, or a related field.
• 3+ years of professional experience in embedded software development, robotics, or automotive systems.
• Strong proficiency in C++ and Python, with experience in real-time, multithreaded applications.
• Hands-on experience with ROS/ROS2 and robotics middleware.
• Familiarity with networking protocols and debugging tools (Wireshark, CAN analyzers, etc.).
• Knowledge of how sensors such as radar, LiDAR, IMU, and cameras work and how to process their data.
• Experience with sensor calibration, synchronization, and fusion techniques.
• Strong debugging, profiling, and performance optimization skills for embedded systems.
• Excellent problem-solving skills, attention to detail, and ability to work independently while collaborating with a multidisciplinary team