Who We Are

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

You will

Work with the Head of Safety and Head of Systems to:
- 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
Be open to travel up to 25%

You have

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)
Experience in developing and deploying robotic systems and / or autonomous vehicles with safety-critical components
Functional safety and SOTIF basic experience
Experience with data analysis and reporting, including Python / SQL basic proficiency and/or willingness to learn
Ability to communicate technical issues and solutions across all levels of the organization
Hands-on approach with a willingness to engage deeply and enjoy the work in a fast-paced environment

We Prefer

MS in Computer Engineering, Computer Science, Electrical Engineering, Aerospace Engineering, or a related technical field
Experience with DOORS, Jama, Polarion, Enterprise Architect, etc.
Knowledge and hands-on experience with safety standards in the development and deployment of complex autonomous systems (including but not limited to ISO 26262, ISO 21448, UL 4600, IEC 61508, ANSI B56.5, ISO3691, ANSI 15.08)
Experience with safety in the context of aviation / airline and/or robotics applications
Familiarity with the airside driving environment at major global airports
Background developing functional and SOTIF safety requirements and roadmap for an autonomous vehicle
Experience with cybersecurity (especially for automated vehicles)
Experience with data science and statistical analysis
Experience with:
- Verification & Validation (V&V) of autonomous vehicle system architecture
- Developing autonomous driving systems with cross-functional teams
- Constructing the safety case that documents and defends the integrity of the solution
- Dependable, safety-critical systems for autonomous driving
- Airport driving environment
- Defining and monitoring KPIs for data-driven engineering and system performance
- Developing data collection and analysis pipelines to support V&V processes
- Defining safety goals and requirements based on the ODD, hazards, and risks
- Creating and managing requirements documentation, traceability, and system architecture
- Shaping system behaviors for critical safety scenarios and ensure robust designs
- Identifying and communicating risks while coordinating solutions and mitigations across teams
- Managing rigorous engineering standards essential for the fail-safe performance

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