AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
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The Airport Automation Company
Full company description
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
LinkedIn followers
5,376
People associated on LinkedIn
63
Reported office locations
233 E Harris Ave, South San Francisco, California 94080, US
Toronto, Ontario, CA
Atlanta, Georgia 30308, US
Frankfurt, DE
New York, 10007, US
Business categories
Air Transportation
Robotics
Software
Logistics
Transportation
Artificial Intelligence (AI)
Aerospace
Autonomous Vehicles
Manufacturing
Other recorded names
AeroVect
Specialties
Aviation
Autonomous Driving
Aerospace
Transportation
Logistics
Airport Automation
Physical AI
and Artificial Intelligence
Profile identifies a recruitment agency
No
Reported total investment
27,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Candidates need a Bachelor's or Master's in computer science, robotics, data engineering or a related field, with strong Python and working knowledge of ROS2, Docker and AWS. A Master's, MLOps or robotics data experience, and familiarity with Weights & Biases are preferred.
8+ YOECandidates need 8+ years of progressive accounting and finance experience, a CPA or equivalent, and strong US GAAP knowledge including ASC 606. They must be able to work independently as the primary accounting owner and build processes.
4+ YOECandidates need 4+ years of content marketing, editorial or communications experience for technical B2B audiences, plus a portfolio of their own writing. AeroVect also needs strong editorial judgment and the ability to coordinate contributors and deadlines.
5+ YOECandidates need a Bachelor's or Master's degree in a technical field and extensive hands-on experience building planning modules for autonomous systems deployed in real operations. Strong C++ or Python skills, Linux experience and the ability to independently drive ambiguous technical problems to solid solutions are required.
3+ YOECandidates need at least 3 years of industry experience in autonomous driving, robotics or a related field, a Master's degree in a related field, and strong modern C++ and Python skills. Experience with behavior planning and path planning algorithms is required.
5+ YOECandidates need a technical degree or equivalent experience and 5+ years of product management on complex, multi-system products. Experience shipping safety-critical or real-time systems and leading cross-functional teams is required.
Prioritization, Computer science, Problem solving, Decision making, Communication skills, Stakeholder management
8+ YOECandidates need 8+ years in robotics or autonomous vehicles, including owning localization or state-estimation systems in production on real hardware. They need strong C++17+, Linux, ROS/ROS2, multi-sensor fusion and technical leadership, plus a BS or MS in a related field.
5+ YOECandidates need a design degree or equivalent experience and 5+ years of product design experience, including operator-facing tools where reliability matters. They need a strong portfolio of information-dense, real-time interfaces, experience building design standards from scratch, and strong communication skills.
Component libraries, Software interaction design, Graphic design, Information architecture, Communication skills, Stakeholder management
1+ YOECandidates need at least one year of recruiting experience with a focus on sourcing, and a proven record of hiring field operations talent such as operators and technicians. Experience with an applicant tracking system (Ashby, Greenhouse, Lever or similar) and with fast-growing start-ups is needed.
3+ YOECandidates need 3-4 years in accounting, FP&A, audit, investment banking, private equity, or a startup finance role. Advanced Excel, strong attention to detail, and clear communication are required, and a CPA or CFA is preferred.
Candidates need a bachelor's degree in a related field, strong Python, and hands-on simulation experience for autonomous systems. They also need Docker, Linux, CI/CD and cloud execution skills, and the ability to debug distributed, GPU-based systems.
7+ YOECandidates need a Bachelor's or Master's in computer science, electrical engineering or a related field, and 7+ years building cloud and data systems for large distributed platforms. Strong Python, Kafka, Kubernetes, gRPC, AWS and Terraform or CloudFormation experience is required.
15+ YOECandidates need 15+ years of hands-on experience shipping autonomy components on real vehicles, deep expertise in perception, prediction or planning, and strong C++ and Python skills. Experience with deep learning, ROS or ROS 2, and on-vehicle real-time systems is also required.
5+ YOECandidates need at least 5 years in robotics or autonomous vehicles, with hands-on sensor calibration or localization experience. Strong C++, Linux and ROS/ROS2 skills are required, along with a BS or MS in a related engineering or computer science field.
3+ YOECandidates need a Bachelor's or Master's degree in a technical field and 3+ years of radar perception experience. They must understand radar fundamentals and know Python, C++ and ROS2.
ROS2, Python, C++, CUDA, Continental radar, TI radar