Basic Qualifications:
· Bachelor’s, Master’s, or Ph.D. in Robotics, Computer Vision, Electrical Engineering, Electronics Engineering, Mechatronics, Computer Science, Computer Engineering, or a related field.
· Bachelor’s degree with 8+ years or Master’s degree with 6+ years of industry experience in Robotics, Autonomous Vehicles, or Autonomous Systems, with expertise in Perception, Localization/Positioning, Path Planning, and Autonomous Navigation.
· Demonstrated success designing, developing, and sustaining complex, mission-critical, high-reliability robotics software systems deployed in production environments.
· Expert-level proficiency in C++ development on Linux platforms, with a proven ability to architect scalable, maintainable, and high-performance software solutions.
· Strong technical leadership experience driving large complex robotics projects from concept definition and research through implementation, validation, deployment, and field support, delivering measurable business and customer impact.
· Hands-on experience with ROS2, CUDA, DDS, and distributed robotic software architectures.
· Experience integrating and utilizing multiple sensing technologies, including LiDAR, cameras, radar, IMUs, and other sensors.
· Excellent communication and collaboration skills with a demonstrated ability to work effectively across multidisciplinary teams including software, controls, embedded systems, hardware, systems engineering, and product management.
· Customer-focused, collaborative team player with strong accountability and ownership, consistently delivering high-quality results while meeting project commitments and deadlines.
Preferred Qualifications:
· Experience with real-time sensor fusion, machine learning and deep learning techniques
· Experience with Unreal Engine or other simulation environments
· Experience in team leadership, specifically mentoring and coaching engineers in the deployment of complex robotics software systems
· Experience developing with MATLAB, and Python beneficial
· Experience working with GPUs, and CPUs is a plus
· Familiarity with safety critical system design and industry standards is a plus.
· Knowledge of common machine control sensors, actuators, and other typical control devices.
· Excellent verbal, written, and interpersonal communication skills.
· Demonstrated ability to deliver high-quality results while adapting to priorities in a fast-paced, deadline-driven environment.