Senior System Safety Engineer

Posted Yesterday
Be an Early Applicant
15 Locations
In-Office or Remote
Senior level
Aerospace • Automation
The Role
Lead system safety engineering for autonomous ground vehicles: perform hazard analyses (HARA, FMEA, FTA, STPA), FMEDA and PMHF, calculate failure rates per industry standards, derive and trace functional and hardware safety requirements for supervised and driverless operation, evaluate sensors and drive-by-wire architectures, and support safety case evidence for airport deployment.
Summary Generated by Built In
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.

Skills Required

  • 5+ years 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, electrical engineering reliability, or failure rate modeling for automotive, aerospace, or industrial robotics.
  • Experience performing FMEDA, hardware diagnostic coverage analysis, and calculating Probabilistic Metric for random Hardware Failures (PMHF).
  • Proven mastery of FIT rate modeling and component failure rate calculation methods (SN 29500, IEC 61709, MIL-HDBK-217F, Telcordia SR-332).
  • Deep knowledge of ISO 26262-5 hardware architectural metrics (SPFM, LFM) and hardware diagnostic strategies.
  • Experience with system-level safety analyses and methods (HARA, FMEA, FTA, STPA).
  • Prior background working with autonomous driving systems or mobile robotics, including evaluation of Lidar, Radar, Camera sensor suites and actuator interfaces.
  • Experience evaluating drive-by-wire compute hardware, redundant architectures, fail-operational compute nodes, and power distribution systems.
  • Ability to derive, specify, and trace functional and technical safety requirements (FSRs/TSRs) for supervised and unsupervised autonomy.
  • B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering, Robotics, or a related discipline.
  • Proven ability to work under technical mentorship in a high-velocity agile engineering team.
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The Company
HQ: South San Francisco, CA
23 Employees
Year Founded: 2020

What We Do

AeroVect deploys autonomous driving systems for GSE, trusted by the world's most innovative airlines and ground handlers

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