AeroVect

👥 11-50💰 Seed almost 3 years agoAir TransportationAerospaceSoftware💼 Private Company
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AeroVect is revolutionizing airside operations with autonomous driving platforms for Ground Support Equipment (GSE). Our innovative solutions enhance efficiency, safety, and reliability at major passenger and cargo hubs globally. We develop our self-driving systems from the ground up with an OEM agnostic design. We're a Series A company, backed by top-tier venture capital investors and work with some of the world’s largest airlines and ground handling providers. Our engineering team focuses on deploying 3D object detection models with multi-modal approaches, building robust data pipelines, and training state-of-the-art models. We leverage cutting-edge technologies like Cloudflare CDN, Amazon Web Services, and Python. At AeroVect, you will have the opportunity to work on real-world, impactful projects, using the latest tools and techniques. We are a remote-first company with a collaborative engineering culture. We value innovation, problem-solving, and a commitment to excellence. We encourage continuous learning and provide opportunities for professional development. Our team is growing, and we are looking for passionate individuals to join us in shaping the future of autonomous ground operations.

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🧭 Fulltime

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.
  • 5+ years of focused experience in deploying 2D/3D object detection models.
  • Python proficiency.
  • The ability to lead projects and teams autonomously
  • Deploy 3D object detection models, including multi-modal approaches (camera, LiDAR, radar).
  • Build and maintain a robust data collection and evaluation (metrics) pipeline.
  • Develop a proprietary dataset for model training and evaluation.
  • Train and evaluate state-of-the-art (SOTA) models.
Posted 6 days ago
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🧭 Full-Time

🔍 Aviation, Autonomous Driving

  • 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
  • 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
  • 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
Posted 26 days ago
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