Senior System Safety Engineer

AeroVect; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers operate safety-critical systems.

We are seeking a Senior Safety Engineer to execute core safety lifecycle tasks across AeroVect's software and hardware platforms, under the supervision of the Head of Safety.

Qualifications

• 5+ years of safety engineering in autonomous vehicles, aerospace, or industrial safety.
• 5+ years in hardware safety engineering, EE reliability, or failure rate modeling.
• Background in autonomous driving systems or mobile robotics.
• Mentorship in a high-velocity agile engineering team.
• B.S. or M.S. in CS, Electrical, Systems Eng, Robotics or related field.
• Mastery of FIT rate modeling and FMEDA workflows.
• ISO 26262-5 knowledge of SPFM/LFM and hardware diagnostics.

Responsibilities

• Perform Quantitative Hardware Safety Analyses, including FMEDA, hardware diagnostic coverage analysis, and 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.

Skills

Safety engineering

Autonomous vehicles

Hardware safety

Failure rate modelling

Hazard analysis

Education

Bachelor's/Master's in CS/EE/Systems Eng/Robotics

Tools

FMEDA

FMEA

FTA

STPA

PMHF

SN 29500

IEC 61709

MIL-HDBK-217

Job description

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.

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.