Salary
💰 $150,000 - $170,000 per year
About the role
- 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
Requirements
- 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
- 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.