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
What You'll Bring
- Experience as an Architect or Systems Engineer for complex or safety-critical systems
- Demonstrated ability to independently solve complex multidisciplinary problems.
- Proven success in implementing program requirements, including processes, definition, decomposition, and verification.
- Experience working with systems resilient to extreme climatic conditions, mechanical vibrations, electrostatic discharge (ESD), and high electrical noise environments.
- Experience in developing fail-safe fault-tolerant modes as well as fail-operative modes that ensure system functionality continues despite faults.
- Proficiency in leveraging various tools for systems modeling and statistical analysis to effectively address and solve problems.
- An acute attention to both thinking broadly and through the details
What Makes You a Strong Fit
- Experience in the application of ISO 26262, ISO 21448, ISO 18497 or other similar standards for L4/L5 autonomous vehicles
- Experience with simulation and modeling of physical hardware/software systems or data-driven modeling and analysis techniques
- Experience in reliability modeling, including the analysis of field data
- M.S. or higher degree in Computer Science, Robotics, Electrical, Systems Engineering, or other relevant disciplines or equivalent experience
- 5+ years of hands-on systems, safety, or related engineering experience with a focus on analysis of high-integrity systems
- Previous experience in regulatory approvals for greenfield applications.
Similar Jobs
What We Do
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.
Why Work With Us
Agtonomy’s AI-driven automation helps growers tackle labor shortages, improve efficiency, and manage rising costs—embedded at the factory level with the world’s leading equipment brands.
.jpeg)







