Operate an instrumented John Deere excavator through repeatable field tests, documenting machine behavior and sharing practical feedback with engineering teams to improve construction technology.
Develop and optimize distributed robotics software for agricultural and construction equipment, collaborating across engineering disciplines and supporting system deployment, testing, and troubleshooting in the field.
Lead product strategy for autonomous construction machinery, turning ambiguous customer and market needs into validated concepts, system requirements, data strategies, and a roadmap from ideation through commercialization.
Design and build scalable ML infrastructure and platform capabilities to enhance the efficiency of machine learning teams across cloud and on-premises environments.
Administer and improve the systems, networks, identity platforms, and endpoint fleet that support robotics and autonomy engineering, while automating infrastructure and strengthening reliability across a modern IT environment.
Support engineering and product teams by collecting field data, testing and maintaining agricultural machinery, running agronomic trials, troubleshooting issues, and communicating customer needs to product teams.
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