Fall 2026

Autonomy Intern

AeroVect

AeroVect

51-200 employees

Aviation tech software and digital solutions

No salary listed

San Francisco, CA, USA

Remote

Category
AI & Machine Learning (1)
Required Skills
Machine Learning
Robotics

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Requirements
  • Strong computer science fundamentals acquired through academic or industry experience.
  • Background developing autonomy functions, including sensing, decision-making, or control, for a deployed autonomous vehicle.
  • High-performing engineering experience.
  • At least 2 years of experience working on software engineering teams.
  • Comfort shipping safety-critical software.
  • Experience shipping a working robotics or vehicle autonomy subsystem.
  • Willingness to work hands-on.
  • Experience with Robot Operating System (ROS).
Responsibilities
  • Define, lead, and own the hands-on creation of an autonomous driving system subsystem module, target milestones, and work with internal and external partners.
  • Design, implement, test, and support autonomous driving system module functionality through simulations and real-world test runs in the airside airport environment, including vehicle corridors and airport aprons.
  • Support planning, perception, navigation, and infrastructure subsystems across ground vehicle autonomy.
  • Collaborate with hardware engineering on calibration and system integration.
  • Keep up to date with the state of the art.
Desired Qualifications
  • Advanced research experience in vehicle autonomy or machine learning.
  • Background in safety-critical software or system development, preferably using a ground robotics functional safety standard such as ISO 26262 or IEC 61508.
  • Prior experience developing and supporting all aspects of autonomy for a production ground-vehicle subsystem or research prototype; end-to-end, full-lifecycle development is preferred.
  • Startup experience.
  • Experience with Carla, Gazebo, or comparable technologies relevant to the area of specialization.

AeroVect builds digital software solutions for the aviation industry. Its platform, based on JavaScript, is used to deliver web and mobile applications and data-driven tools for aviation customers such as airlines, airports, and related businesses. The product likely runs as a web-based service or subscription, enabling users to access, customize, and deploy aviation-focused software and analytics from a browser or app. Unlike general software firms, AeroVect targets aviation-specific workflows and data needs, leveraging a JavaScript-based platform to offer scalable digital products and possibly professional services like custom development or data analysis. The company’s goal is to help aviation stakeholders manage software, data, and operations more efficiently by providing practical digital solutions that can be deployed and consumed through a cloud-based platform.

Company Size

51-200

Company Stage

Seed

Total Funding

$9.1M

Headquarters

San Francisco, California

Founded

2020

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Simplify Jobs

Simplify's Take

What believers are saying

  • AeroVect raised debt on April 30, 2026, after its September 2024 Series A.
  • Its careers page updated August 6, 2026, showing active hiring and expansion.
  • Point One's August 19, 2025 partnership improves positioning precision for autonomous runway operations.

What critics are saying

  • Revenue depends on slow airport procurement; pilots with GAT and dnata still validate.
  • OEMs and incumbents can bundle GSE autonomy into fleet contracts.
  • A fatal airside incident would halt deployments, trigger lawsuits, and crush trust.

What makes AeroVect unique

  • OEM-agnostic AeroVect Driver retrofits existing GSE, avoiding fleet replacement.
  • It focuses on airside autonomy, where aircraft crossings and ramp safety dominate.
  • AeroVect claims the largest airside driving dataset and most live-production miles.

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Benefits

Flexible Work Hours

Growth & Insights

Headcount

6 month growth

-5%

1 year growth

-6%

2 year growth

-4%