AeroVect Tech Stack

AI-powered autonomous systems for airport logistics and ground operations

Airlines and Aviation South San Francisco, California 51–200 employees Founded 2020 Privately Held

AeroVect builds autonomous driving and robotic systems for airport operations, with a tech stack combining robotics primitives (ROS 2, CUDA, LiDAR) and cloud infrastructure (AWS, Terraform, Kubernetes). The company is heavily engineering-focused (113 of 131 roles), with concentrated hiring in senior and staff-level positions—typical of autonomous vehicle teams scaling safety-critical perception and planning systems. Active projects span safety case development, object detection model training, and deterministic secondary perception, while pain points center on functional safety validation, system reliability, and platform scaling.

Tech Stack 63 technologies

Core StackPython C++ Linux AWS Terraform CloudFormation Jenkins GitHub Actions CircleCI Docker Kubernetes SolidWorks ROS 2 CUDA Google Docs Google Sheets Google Slides Word Excel PowerPoint ROS ISO 26262 LiDAR Bash Git IBM DOORS Jama Connect Polarion Enterprise Architect Ubuntu+32 more

AdoptingTerraform CloudFormation MCP

What AeroVect Is Building

◆Challenges

Safety-critical autonomous driving
Reliability and performance
Scaling autonomous vehicle platform
Scaling autonomous driving infrastructure
Seamless integration between software and robotics
Ensuring reliability of robotic systems
Ensuring functional safety in autonomous systems
Ensuring safety-critical system performance
Inefficient cargo baggage workflows
Gaps in localization system

▲Active Projects

Safety case development for autonomous airside driving
Train and deploy 2d/3d object detection models
Autonomous driving platform infrastructure
Autonomous vehicle platform integration
Data collection and evaluation pipeline
Architect deterministic secondary perception system
V&v of autonomous vehicle system architecture
Build data collection and labeling pipeline
Implement observability and logging solutions
Safety-critical system deployment

Hiring Activity

Decelerating130 roles · 25 in 30d

Department

Engineering

113

Executive

Ops

Sales

Seniority

Senior

Staff

Mid

Intern

Junior

Manager

Notable leadership hires: Chief of Staff

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About AeroVect

AeroVect develops autonomous vehicle and robotics solutions for airport ground operations. Founded in 2020 and based in South San Francisco, the company serves airlines and airports with AI-powered logistics automation—specifically autonomous airside driving (taxiway and apron operations) and baggage handling workflows. The engineering organization is distributed across North America and Europe (hiring in seven countries including Germany, Poland, and Canada), reflecting both R&D depth and operational scaling. The product appears structured around autonomous platform infrastructure, perception (2D/3D object detection), and safety validation systems required for deployment in safety-critical airport environments.

HeadquartersSouth San Francisco, California

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States, Germany, Poland, Canada, Ireland, Italy, Sweden, Netherlands

Frequently Asked Questions

What is AeroVect's tech stack?

AeroVect uses Python, C++, ROS 2, CUDA, and LiDAR for autonomous systems development. Infrastructure runs on AWS with Terraform and CloudFormation for infrastructure-as-code, Kubernetes for orchestration, and CI/CD via Jenkins and GitHub Actions.

What is AeroVect working on?

AeroVect is developing autonomous airside driving systems and airport logistics automation. Active projects include safety case development for autonomous vehicles, object detection model training, autonomous driving platform infrastructure, and v&v of safety-critical system architectures.