ABOUT US

Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We’re looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact.

ABOUT THE ROLE

We’re looking for a Systems Engineer to join our team with experience in the development, testing, and deployment of perception-enabled autonomous systems. Do you enjoy tackling the most cross-disciplinary parts of a complex program? Do you love solving business-critical problems with minimal direction, a high degree of ownership, and the freedom to make it happen? As a Systems Engineer, you will work closely with experienced engineering leaders and have the opportunity to learn and contribute to the design, integration, and optimization of cutting-edge technologies.

WHAT YOU’LL DO

• Serve as a trusted technical expert of high-reliability, safety-critical autonomous systems owning system-level requirements, CONOPS, metrics, and test coverage to ensure we ship safe and robust autonomous systems.
• Contribute to system and subsystem requirement definition, decomposition, and traceability of hardware, software and product capabilities.
• Develop frameworks and facilitate trade studies to optimize for performance, safety, and cost across various subsystems.
• Support defining criteria for internal and external metrics, performance & safety guidelines
• Establish release standards and test & validation processes, working collaboratively with engineers and field operations teams to ensure systems operate as intended.
• Support design decisions, tradeoffs and compliance of safety-critical systems, regulations and standards
• Design fault trees and other mathematical models for quantitative risk analysis