
Job Overview
Location
Remote
Job Type
Full-time
Category
Engineering
Date Posted
July 10, 2026
Full Job Description
📋 Description
- • Design, analyze, and perform Verification & Validation (V&V) of autonomous vehicle system architecture
- • Develop autonomous driving systems with cross-functional teams and construct the safety case that documents and defends the integrity of the solution
- • Drive the creation, evolution, and deployment of dependable, safety-critical systems for autonomous driving within the airport driving environment
- • Help to define and monitor KPIs for data-driven engineering and system performance
- • Develop data collection and analysis pipelines to support V&V processes
- • Define safety goals and requirements based on the ODD, hazards, and risks
- • Create and manage requirements documentation, traceability, and system architecture
- • Shape system behaviors for critical safety scenarios and ensure robust designs
- • Identify and communicate risks while coordinating solutions and mitigations across teams
- • Craft a pioneering safety framework for autonomous airside driving
- • Establish, oversee, and uphold the rigorous engineering standards essential for the fail-safe performance
🎯 Requirements
- • BS in Computer Science, Engineering, Mechatronics, Aerospace, or a related field (or equivalent experience)
- • Hands-on experience with systems engineering (e.g., V Model, requirements documentation, traceability, V&V)
- • Experience generating safety artifacts for a complex autonomous system such as Hazard Analyses (HARAs), FMEAs, FTAs, STPAs
🏖️ Benefits
- • Competitive salary
- • Comprehensive benefits package
- • Opportunity to work with a cutting-edge technology
- • Collaborative and dynamic work environment
- • Professional growth and development opportunities
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About AeroVect Inc.
AeroVect Inc. builds autonomous ground vehicles and management software for airport cargo and baggage handling. Its electric tractors and tow-tugs automate loading, unloading, and transport of luggage and freight on tarmacs and in terminals, integrating with existing baggage systems and aircraft operations. The company combines AI perception, path planning, and fleet orchestration to reduce delays, labor costs, and emissions while improving ramp safety and throughput for airlines and ground-handling partners.
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