Principal Autonomous Systems Safety Engineer

Blue River Technology is a team of innovators focused on creating intelligent machinery for agriculture and construction. The Principal Systems Safety Engineer will lead the development of safety frameworks for autonomous solutions, ensuring trust through validation and verification processes.

Responsibilities:

• Provide a clear execution path for engineering teams by deriving technical safety requirements using your preferred tools
• Envision and implement robust frameworks for the validation and verification (V&V) of end-to-end (E2E) robotics solutions
• Apply mental agility to navigate complex, evolving technical challenges and drive cross-functional problem solving
• Conduct risk assessments to inform safety reviews and support feature concept development
• Work with the data infrastructure team to strategically identify data and tools needed to monitor and quantify real-world fleet performance

Requirements:

• 8+ years of relevant engineering work experience that includes risk assessment/management and product / functional safety
• 3+ years of experience developing safety-critical electronic and embedded systems
• Experience conducting risk assessments for autonomous ground vehicles and experience conducting safety reviews (HARA, STPA, FMEA, etc)
• Demonstrated ability to architect comprehensive V&V frameworks for end-to-end robotics applications
• Exceptional mental agility, with a track record of thriving in ambiguous, fast-paced environments
• Ability to clearly communicate verbally and in writing with legal and regulatory awareness
• Ability to quickly work in a start-up environment, help team members outside of your lane, and manage multiple ongoing projects
• Knowledge of ISO-18497, ISO-26262, ISO/PAS 21448 or similar (DO-178, ARP-4754, IEC 62304, etc)
• Strong Systems Engineering fundamentals
• BS in Electromechanical/Electrical/Electronics Engineering, Computer Engineering, Computer Science, or related technical fields
• Proven experience in the safety and verification of complex Machine Learning (ML) systems and autonomous robotics
• Hands-on experience in embedded system development, software development, and/or verification and validation of such systems
• Safety analysis for L3-L5 autonomous vehicles
• Experience with embedded Linux, ROS2, and/or AWS
• Deep understanding of vehicle architectures and system design