AI Perception Engineer

About Mach:Mach builds production-ready autonomy for the world’s toughest off-road environments. Our technology helps OEMs bring autonomous and semi-autonomous heavy equipment to market across industries such as agriculture, construction, mining, defense, landcare, logistics, and maritime.We are building rugged autonomy systems that operate where conditions are difficult, GPS can be unreliable, visibility can change quickly, and machines must perform safely and consistently in the real world. Our stack combines perception, machine learning, navigation, planning, controls, connectivity, and operator tools to help heavy machines work safer, smarter, and more efficiently.Position Description:Mach is looking for an AI Perception Engineer fof Off-Road Autonomy to help build the next generation of machine vision and AI systems for off-road autonomous vehicles and heavy equipment.In this role, you will develop perception capabilities that allow machines to understand complex outdoor environments, detect and classify obstacles, interpret terrain, reason about machine surroundings, and support autonomous decision-making. You will work across the full perception lifecycle, from data collection and labeling strategy to model training, evaluation, deployment, and field validation.This role will also contribute to emerging vision-language-action model development, helping train and adapt models that connect visual understanding, task context, and machine actions for real-world autonomous systems.Ideal Experience:The ideal candidate will have experience in several of the following areas:Training and implementing neural networks, including CNNs and other modern deep learning architecturesBuilding scalable end-to-end data collection, labeling, training, and evaluation infrastructureImplementing optimized edge-deployed machine vision solutionsDeveloping machine vision systems for multi-object tracking, filtering, classification, and identificationIntegrating and fusing data from LiDAR, radar, cameras, GPS/INS, and other sensorsWorking with real-world robotic, vehicle, or autonomous systems dataDebugging perception failures in field environments and improving models based on real-world performanceRequirements for Success:Strong experience in computer vision, machine learning, perception, or autonomous systemsSelf-starter who can work independently and manage projects with minimal oversightStrong programming skills in a major language such as C++, C, Python, or similarExperience with computer vision, robotics, or machine learning tools such as OpenCV, CUDA, TensorRT, ONNX, ROS/ROS2, PyTorch, TensorFlow, or similar toolingAbility to build practical systems that balance model accuracy, latency, reliability, and deployment constraintsStrong debugging, problem-solving, and communication skillsNice to Have:Experience with off-road autonomy, agriculture, construction, mining, defense, maritime, or heavy equipmentExperience with vision-language models, vision-language-action models, multimodal learning, imitation learning, or embodied AIExperience deploying models to embedded or edge compute platformsExperience with sensor calibration, 3D perception, SLAM, visual odometry, occupancy mapping, or terrain understandingExperience designing data engines, active learning workflows, synthetic data pipelines, or automated labeling systemsBenefits:Generous vacation and PTO10+ Paid Holidays75% company-sponsored health planDental, Vision and 401K availableEquity incentive packageOther Requirements:Bachelor’s degree in Computer Science3-5 years professional experience in robotics, autonomy, perception, or machine learning, or equivalent hands-on experience from a rigorous autonomy research lab, graduate program, or competitive robotics/autonomous vehicle teamU.S. citizen or lawful permanent resident (Green Card holder) Ability to pass a background checkJob Type: Full-timeLocation: Ely, IA, on-site