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Senior System Safety Engineer

🔥 1 minute ago

Where this job comes from

Posted on AeroVect's careers page, not through a job board

First seen by Remote Rocketship 1 minute ago

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AeroVect

11 - 50 employees

📦 Logistics

💼 Consulting

🚀 Aerospace

💰 Seed Round on 2022-07

Logistics • Consulting • Aerospace

AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.

📋 Description

• Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA) on the autonomous system architecture and vehicle operation concepts • Derive, specify, and trace functional and technical safety requirements for supervised and unsupervised autonomy • Collaborate with systems, software, robotics, hardware, and test teams to integrate, test, and verify safety requirements • Assist in building safety case artifacts and verification evidence required for airport commercial deployment • Perform quantitative hardware safety analyses, including FMEDA, hardware diagnostic coverage analysis, and PMHF • Calculate hardware component and system failure rates using SN 29500, IEC 61709, MIL-HDBK-217F, and Telcordia SR-332 • Evaluate drive-by-wire compute hardware, Lidar, Radar, Camera sensor suites, actuator interfaces, and power distribution systems for single-point and latent faults • Derive hardware safety requirements for redundant architectures and fail-operational compute nodes

🎯 Requirements

• 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 • Deep knowledge of ISO 26262-5 hardware architectural metrics (SPFM, LFM) and hardware diagnostic strategies

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