Engineer, Robotics - The Toro Company
About The Position
The Toro Company is seeking a Robotics Engineer to join their team. This role involves developing and integrating perception algorithms for autonomous outdoor robotic systems. The engineer will design solutions for object detection, localization, SLAM, odometry, terrain analysis, sensor fusion, and boundary detection. The position requires developing computer vision and machine learning solutions, processing 2D and 3D sensor data, and integrating various sensors like cameras, LiDAR, GNSS, IMUs, radar, and ultrasonic sensors. The engineer will work within a ROS 2-based robotics architecture, design modular software, evaluate emerging technologies, collect and analyze field data, develop testing tools and metrics, validate algorithms through simulation, optimize software for embedded platforms, and troubleshoot complex issues. Collaboration with multidisciplinary teams and participation in field testing are also key aspects of this role. The engineer will contribute to the architecture and future direction of autonomous perception systems.
Requirements
- Bachelor’s degree in Robotics, Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or a related technical field.
- Four to ten (4-10) years of experience (Levels III-IV).
- Strong software development skills using C++ and/or Python.
- Experience developing software on Linux-based systems.
- Experience in robotics, autonomous systems, computer vision, or related perception technologies.
- Demonstrated ability to effectively utilize AI-assisted development tools and AI agents for software development, debugging, code reviews, technical research, documentation, and automation.
- Understanding of coordinate frames, transformations, 3D geometry & rigid-body motion.
- Experience with one or more of the following: Computer Vision, LiDAR or Point Cloud Processing, State Estimation and Sensor Fusion, SLAM, Localization, Object Detection, Machine Learning.
- Strong debugging and problem-solving skills.
- Ability to work with physical robotic systems and troubleshoot issues spanning software, hardware, sensors, and networking.
- Ability to collaborate effectively within a multidisciplinary engineering team.
Nice To Haves
- Master’s degree.
- Experience with ROS/ROS 2 and modern robotics software development using C++.
- Experience with robotics perception technologies, including computer vision, LiDAR, point-cloud processing, localization, mapping, and sensor fusion.
- Experience with machine learning and perception deployment, including neural network-based solutions and embedded GPU platforms.
- Familiarity with perception and robotics development tools such as OpenCV, PCL, Eigen, PyTorch, TensorRT, CUDA, Docker, Git, and CI/CD practices.
- Experience developing autonomous systems for mobile robots, off-road vehicles, agricultural equipment, or other outdoor robotic platforms.
- Experience validating and optimizing robotics algorithms using simulation, recorded datasets, and real-world testing.
Responsibilities
- Develop and integrate perception algorithms for autonomous outdoor robotic systems.
- Design solutions for object and obstacle detection, localization and state estimation, SLAM, visual and LiDAR odometry, terrain and traversability analysis, sensor fusion, and free space and boundary detection.
- Develop computer vision and machine learning solutions using monocular, stereo, and depth cameras.
- Process and analyze 2D and 3D sensor data, including point clouds and depth imagery.
- Integrate and evaluate sensors including cameras, LiDAR, GNSS, IMUs, radar, and ultrasonic sensors.
- Develop and maintain perception software within a ROS 2-based robotics architecture.
- Design modular perception software that supports future sensor and algorithm upgrades.
- Evaluate emerging perception technologies for performance, reliability, cost, and production readiness.
- Collect and analyze field data to identify failure modes and improve system performance.
- Develop testing tools, metrics, and validation methods using simulation, recorded datasets, and real-world testing.
- Validate perception algorithms through simulation prior to deployment.
- Optimize perception software for embedded platforms such as NVIDIA Jetson.
- Troubleshoot and resolve complex issues involving sensors, localization, perception, planning, and vehicle controls.
- Collaborate with multidisciplinary teams including navigation, controls, embedded systems, machine learning, electrical engineering, and systems engineering.
- Participate in field testing and iterate solutions based on real-world performance results.
- Contribute to the architecture and future direction of autonomous perception systems.
Benefits
- Competitive salary
- Affordable and top-tier medical/dental/vision plan
- 401k
- Casual, corporate environment (Dress for your day)
- 20 hours of paid time to volunteer in the community
- Potential eligibility for an incentive program based on individual and organizational performance
- Access to pay early with the dailypay app
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
