AeroVect Inc. logo

Senior Systems Engineer

Job Overview

Location

Remote

Job Type

Full-time

Category

DevOps & SysAdmin

Date Posted

August 8, 2026

Full Job Description

đź“‹ Description

  • • Own the design, analysis, and verification & validation of assigned subsystems within our autonomous vehicle system architecture.
  • • Collaborate with cross-functional teams to develop and deploy autonomous driving systems.
  • • Define and track KPIs for your areas to support data-driven engineering and system performance.
  • • Build data collection and analysis pipelines that support verification & validation processes.
  • • Author and maintain requirements documentation, traceability, and system architecture artifacts.
  • • Define system behaviors for critical safety scenarios and contribute to robust, well-reasoned designs.
  • • Surface risks early and help coordinate solutions and mitigations with the teams involved.
  • • Mentor junior engineers and contribute to team engineering practices.

🎯 Requirements

  • • Bachelor's degree in Computer Science, Engineering, Mechatronics, Aerospace, or a related field (or equivalent experience).
  • • 4+ years of experience working on autonomous systems or safety-critical systems.
  • • Hands-on experience with systems engineering (e.g., V Model, requirements documentation, traceability, verification & validation).

🏖️ Benefits

  • • Competitive salary
  • • Comprehensive benefits package
  • • Opportunity to work with a cutting-edge autonomous vehicle system
  • • Professional development opportunities
  • • Flexible work environment

Skills & Technologies

Python
Senior
Remote
Degree Required

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AeroVect Inc. logo
AeroVect Inc.
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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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