Senior System Safety Engineer

AeroVect; Toronto; On-site; CAD 110,000 - 190,000; Full time

Job summary

AeroVect is seeking a Senior Safety Engineer to execute core safety lifecycle tasks across our software and hardware platforms. You will perform Quantitative Hardware Safety Analyses and derive HSRs for redundant architectures, collaborating with cross-functional teams to ensure verified safety requirements for autonomous systems.

The role demands 5+ years in safety engineering, strong expertise in FMEDA and safety standards, and a background in autonomous driving or mobile robotics, under the

Qualifications

• 5+ years in safety engineering for autonomous vehicles or related sectors.
• Experience with hardware safety engineering and failure rate modeling.
• Background in autonomous driving systems or mobile robotics.
• Experience under mentorship in a fast agile engineering team.
• Degree in CS/EE/Systems/Robotics or related field.
• Strong knowledge of ISO 26262 and hardware safety metrics.
• Proficiency with safety standards and HW architectural metrics.

Responsibilities

• Perform Quantitative Hardware Safety Analyses, including FMEDA and PMHF assessments.
• Calculate hardware component and system failure rates using standard methods.
• Evaluate drive-by-wire compute hardware, sensor suites, actuators, and power systems for faults.
• Derive Hardware Safety Requirements for redundant architectures and fail-operational nodes.

Skills

Safety engineering

Hazard analysis

Failure rate modeling

FMEDA

System safety analysis

Education

B.S./M.S. in CS/EE/Robotics

Tools

SN 29500

IEC 61709

MIL-HDBK-217

FMEDA workflows

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.