aerovect
WHO WE ARE AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com http://www.aerovect.com. Working under the close guidance and supervision of the Head of Safety, the Senior Safety Engineer will execute core safety lifecycle tasks across AeroVect’s software and hardware platforms: - System Safety Analysis: Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA) on the autonomous system architecture and vehicle operation concepts. - Requirements Derivation: Derive, specify, and trace functional and technical safety requirements (FSRs / TSRs) for both supervised autonomy (safety driver present) and SDO unsupervised autonomy (driverless). - Cross-Functional Execution: Collaborate directly with systems, software, robotics, hardware, and test teams to ensure safety requirements are integrated, testable, and verified. - Safety Case Support: Assist in building safety case artifacts and verification evidence required for airport commercial deployment. YOU WILL - Perform Quantitative Hardware Safety Analyses, including FMEDA, hardware diagnostic coverage analysis, and Probabilistic Metric for random Hardware Failures (PMHF). - Calculate hardware component and system failure rates using standard methodologies (SN 29500, IEC 61709, MIL-HDBK-217F, Telcordia SR-332). - Evaluate drive-by-wire compute hardware, sensor suites (Lidar, Radar, Camera), actuator interfaces, and power distribution systems for single-point and latent faults. - Derive Hardware Safety Requirements (HSRs) for redundant architectures and fail-operational compute nodes. YOU HAVE - 5+ years of hands-on safety engineering experience in autonomous vehicles, automotive (ISO 26262), aerospace (DO-178C/DO-254), or industrial safety (IEC 61508). - 5+ years in hardware safety engineering, EE reliability, or failure rate modeling for automotive, aerospace, or industrial robotics. - Prior background working with autonomous driving systems or mobile robotics. - Proven ability to work under the technical mentorship of a Principal Safety Engineer in a high-velocity agile engineering team. - B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related discipline. - Proven mastery of FIT rate modeling, component failure rate calculation methods (SN 29500, IEC 61709, MIL-HDBK-217), and FMEDA workflows. - ISO 26262-5 Mastery: Deep knowledge of hardware architectural metrics (SPFM, LFM) and hardware diagnostic strategies.