Autonomous Systems Engineer in Moline

Job Description

Role Summary

We are seeking a highly skilled Tech Lead with deep expertise in autonomous systems algorithm development and high-performance C++ implementation to lead the design, development, and deployment of advanced autonomy solutions for autonomous platforms. This role is strongly implementation-driven, requiring hands-on experience in C++ for real-time, safety-critical systems, combined with strong foundations in mathematics, estimation theory, control systems, and optimization.

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Key Responsibilities

• Act as the technical authority for autonomy algorithm development in C++
• Design and implement high-performance, real-time algorithms in C++ for perception, localization, sensor fusion, and control
• Develop Kalman Filters, SLAM, and sensor fusion algorithms
• Optimize algorithms for real-time embedded platforms
• Drive motion planning algorithms (A*, RRT, optimization-based)
• Perform algorithm validation using MIL, SIL, HIL
• Define performance KPIs such as latency, accuracy, and robustness
• Integrate algorithms into embedded and ROS-based systems
• Mentor teams and conduct algorithm and code reviews

Mandatory Skills

• Strong foundation in linear algebra, probability, statistics, and optimization
• Expertise in Kalman filtering, SLAM, and sensor fusion
• Experience in real-time algorithm implementation (C++, Python)
• Strong systems engineering and V&V experience

Core Skills – Autonomy Domain

• LiDAR perception and 3D mapping
• Computer vision and deep learning
• Sensor fusion (LiDAR, Camera, IMU, GNSS)
• Path planning and control algorithms
• ROS / ROS2 and simulation tools
• Edge AI (NVIDIA Jetson platforms)