Embedded Software Engineer 4

• Architectural Leadership: Design and own major autonomy software components across perception, localization, and planning layers to ensure systems are scalable and maintainable.
• Production Integration: Translate research and AI/ML prototypes into real-time, production-grade software integrated with sensors (LiDAR, Radar, Camera) and vehicle networks.
• Mentorship: Set coding standards and best practices while guiding junior and mid-level engineers through rigorous design and code reviews.
• Field Problem Solving: Lead root-cause analysis for complex issues observed in simulation, Hardware-in-the-Loop (HIL), or actual field deployments.

• Experience: 8+ years of professional software development with a focus on autonomy, robotics, or real-time systems.
• Core Tech Stack: Expert-level C++ (Required) and proficiency in Python.
• Systems Knowledge: Deep understanding of Linux-based development, multithreading, memory management, and performance optimization.
• Education: Bachelor's degree in Computer Science, Robotics, or a related field (Master's preferred).

Preferred Technical Skills:

• Experience with robotics frameworks (e.g., ROS/ROS2).
• Hands-on experience with perception systems, sensor fusion, or motion planning algorithms.
• Familiarity with simulation pipelines (SIL/HIL) and functional safety concepts.
• Background in developing software for heavy industrial, automotive, or off-highway autonomous systems.