Robotics Engineer (Perception)

Location: Itasca, IL; applicants must be legally authorized to work in the United States

Company

hirify.global is a venture-backed Illinois technology company developing autonomous agricultural equipment and Farming-as-a-Service solutions.

What you will do

• Design and harden perception pipelines for obstacle detection, classification, and tracking on autonomous agricultural equipment.
• Integrate cameras, LiDAR, radar, and GNSS/IMU sensors, including drivers, calibration, and time synchronization.
• Fuse multi-sensor data into world models supporting navigation, safety, control, and sequencing systems.
• Evaluate and integrate third-party sensors and perception vendors from bench prototypes through production deployment.
• Deploy and optimize computer vision models on edge hardware under real-time, thermal, and power constraints.
• Build data collection, labeling, evaluation, replay-testing, and field-debugging workflows for perception systems.

Requirements

• Bachelor’s degree in computer science, robotics, electrical engineering, or a related field.
• Strong quantitative, analytical, and problem-solving skills, including comfort with geometry, linear algebra, and probabilistic estimation.
• Ability to code with and without AI assistance; organized, disciplined, detail-oriented, entrepreneurial, and able to manage multiple priorities.
• Willingness to drive or learn to drive tractors and other four-wheel vehicles.
• Interest in learning the agriculture industry and understanding farmers’ needs.
• 5+ years building perception, computer vision, or real-time sensing applications, including shipping production hardware outside the lab.
• Strong C++ and/or Python skills and strong ROS/ROS2 skills, including sensor drivers and high-bandwidth message pipelines.
• Hands-on experience integrating and calibrating production cameras, LiDAR, and/or radar.
• Experience with computer vision and point-cloud libraries such as OpenCV, PCL, or Open3D.
• Experience training and deploying detection or segmentation models on edge hardware using technologies such as PyTorch, ONNX, TensorRT, or NVIDIA Jetson.
• Experience with sensor fusion, state estimation, and multi-object tracking, such as Kalman filters.

Nice to have

• Experience with geospatial data.
• Familiarity with functional safety standards for autonomous machinery, including ISO 25119, ISO 18497, or ISO 13849.
• Experience with Docker-based software and build pipelines.

Culture & Benefits

• Fast-paced, demanding work environment with flexibility, autonomy, and career opportunities.
• Unlimited vacation and flexible time.
• 401(k), medical, and dental benefits.
• Occasional travel to customer sites to observe and refine perception systems.
• Values include ownership, high standards, collaboration, curiosity, integrity, and empowering farmers.

Hiring process

• Code must be tested and hardened through unit tests, replay tests using real field data, and on-vehicle validation before release.
• Work visa sponsorship is not available.