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Salary
≈ $172k – $293k per year (Estimated)
Location
Remote (Paris, France, San Francisco, United States, Berlin, Munich, Frankfurt am Main, Germany)
Seniority
Staff · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Sep 15, 2026. AeroVect scores B on the Alion truth index.

Overview
Company
Impact
Profile match
AeroVect is an autonomous driving technology company founded in 2020 that develops the AeroVect Driver, a self-driving software and sensor kit that automates airport ground support equipment such as baggage tractors and cargo haulers. Its systems are deployed with airlines and ground handlers at passenger and cargo hubs, and it hires motion planning and localization engineers, operations safety leads and autonomous vehicle test drivers in Atlanta, Toronto and New York. The company is headquartered in South San Francisco, California, United States.

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.

You will

  • Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar).

  • Build and maintain data collection and evaluation (metrics) pipeline.

  • Develop a proprietary multi-modal dataset for training and evaluation.

  • Train, deploy and monitor 2D/3D object detection models to production.

  • Build and execute a roadmap for the perception system

  • Mentor junior engineers about best practices.

You have

  • Master’s or PhD in Computer Science, Robotics, Deep Learning, or a related field.

  • 7+ years of focused experience in architecting and deploying 2D/3D object detection models.

  • Worked on entire perception stack (sensing, preprocessing, detection & tracking)

  • Python proficiency

  • The ability to identify gaps and lead cross functional projects

We Prefer

  • PhD in Computer Science, Robotics, or a related discipline

  • Full stack AV knowledge

  • Experience in architecting perception systems (detection & tracking)

  • Publications in major conferences like CVPR, ICRA, NeurIPS, IJCAI, AAAI etc

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