Senior System Safety Engineer

🕒 July 31

🏄 California, Colorado, +3 more states – Remote

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⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 30%

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Logo of AeroVect

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 core safety lifecycle tasks across AeroVect’s software and hardware platforms. • Execute System Safety Analysis including hazard identification and risk assessments. • Derive and trace functional and technical safety requirements for both supervised and unsupervised autonomy. • Collaborate with cross-functional teams to ensure integration, testing, and verification of safety requirements. • Assist in building safety case artifacts and verification evidence for airport deployment. • Perform Quantitative Hardware Safety Analyses and calculate failure rates using standard methodologies. • Evaluate hardware components and architectures for faults and derive Hardware Safety Requirements.

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

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