Posted 1 hour ago
Senior System Safety Engineer
@ AeroVect
Overview
AeroVect, a Series A company transforming airport ground handling with autonomy, is hiring a Senior System Safety Engineer to run safety lifecycle tasks across its software and hardware platforms. The role centres on system safety analysis, safety requirements derivation and quantitative hardware safety analysis (FMEDA, PMHF) for supervised and driverless vehicles, reporting to the Head of Safety.
Responsibilities:
- Perform hazard identification and risk assessments (HARA, FMEA, FTA, STPA)
- Derive and trace functional and technical safety requirements for supervised and driverless autonomy
- Perform quantitative hardware safety analyses including FMEDA and PMHF
- Evaluate compute, sensor and power hardware for single-point and latent faults
- Assist in building safety case artifacts for airport deployment
Requirements summary:
- 5+ years safety engineering in autonomous vehicles, automotive, aerospace or industrial safety
- 5+ years in hardware safety, EE reliability or failure rate modeling
- Mastery of FIT rate modeling and FMEDA workflows
- Deep knowledge of ISO 26262-5 hardware architectural metrics
- B.S. or M.S. in Computer Science, Electrical Engineering, Systems Engineering or Robotics
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-11-10
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Engineering |
| Experience | 5+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office, Client sites |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Electrical Engineering, Systems Engineering, Robotics |
Summary and details written by AI from the posting; the employer’s posting is the authority.
AeroVect
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The Airport Automation Company
Full company description
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
- LinkedIn followers
- 5,376
- People associated on LinkedIn
- 63
- Reported office locations
- 233 E Harris Ave, South San Francisco, California 94080, US
- Toronto, Ontario, CA
- Atlanta, Georgia 30308, US
- Frankfurt, DE
- New York, 10007, US
- Business categories
- Air Transportation
- Robotics
- Software
- Logistics
- Transportation
- Artificial Intelligence (AI)
- Aerospace
- Autonomous Vehicles
- Manufacturing
- Other recorded names
- AeroVect
- Specialties
- Aviation
- Autonomous Driving
- Aerospace
- Transportation
- Logistics
- Airport Automation
- Physical AI
- and Artificial Intelligence
- Profile identifies a recruitment agency
- No
- Reported total investment
- 27,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
| Field | Value |
|---|---|
| Industry | Airlines and Aviation |
| Company size | 51-200 employees |
| Headquarters | South San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2020 |
| Specialties | AviationAutonomous DrivingAerospaceTransportationLogisticsAirport AutomationPhysical AIand Artificial Intelligence |
| Open jobs on Jobsy | 16 |
| View page |
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.
Journal
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