Principal Autonomous Systems Safety Engineer

Summary

Join us to help enable the future of Smart Industrial and develop tech that leaves a visible fingerprint on the world. As a Principal Systems Safety Engineer, you will be a leader responsible for delivering trust in our autonomous solutions.

Requirements

• 8 or more years of relevant engineering work experience that includes risk assessment/management and product / functional safety
• 3 or more 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)
• Ability to quickly identify key issues and bound likelihood and severity. Experience and confidence in making safety-critical decisions under uncertainty
• Ability to communicate verbally and in writing with legal and regulatory awareness
• Ability to quickly work in a start-up environment, help team members outside 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
• Bachelor of Science in Electromechanical/Electrical/Electronics Engineering, Computer Engineering, Computer Science, or related technical field

Responsibilities

• Provide a clear execution path for engineering teams by deriving technical safety requirements through the use of your preferred tools and processes such as: The Systems Theoretical Process Approach (STPA) or Failure Mode and Effect Analysis (FMEA) of the perception system
• Define system reliability and robustness requirements for new embedded hardware
• 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

Preferred Qualifications

• Hands-on experience in embedded system development, software development, and/or verification and validation of such systems
• Understanding of ECU HW designs and automotive interconnects such as CAN or Automotive Ethernet
• Safety analysis for L3-L5 autonomous vehicles
• Experience with embedded Linux, ROS2 and/or AWS
• Deep understanding of vehicle architectures and system design
• Ability to analyze large data sets to identify critical patterns