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This position was posted on April 17, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

AeroVect Inc. logo

Staff Software Engineer, Motion Planning

Job Overview

Location

Remote

Job Type

Full-time

Category

Software Engineering

Date Posted

April 17, 2026

Full Job Description

📋 Description

  • • As a Staff Software Engineer in Motion Planning at AeroVect, you will design and build best-in-class planning systems for autonomous ground support equipment operating in structured, low-speed airport airside environments, directly enabling safer, more efficient airline and ground service operations through cutting-edge autonomy technology.
  • • You will own the design and implementation of production-grade mission planning, behavior planning, and motion planning software, driving technical decisions across the planning stack, prototyping and evaluating new approaches (optimization-based, search-based, learning-augmented), and collaborating with perception, controls, localization, and systems teams to deliver an integrated autonomous driving system.
  • • AeroVect is a Series A autonomous ground handling company backed by top-tier venture capital, transforming how airlines and ground service providers operate globally by deploying robotics-as-a-service (RaaS) solutions at major airports, working with some of the world’s largest aviation and logistics partners.
  • • You will have the opportunity to shape a market-defining product at the intersection of autonomous vehicles and robotics-as-a-service, mentor fellow engineers, establish best practices in functional safety and software development, and grow your expertise in safety-critical systems for real-world autonomous operations.

Skills & Technologies

Python
Linux
Senior
Remote
Degree Required

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AeroVect Inc. logo
AeroVect Inc.
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About AeroVect Inc.

AeroVect Inc. builds autonomous ground vehicles and management software for airport cargo and baggage handling. Its electric tractors and tow-tugs automate loading, unloading, and transport of luggage and freight on tarmacs and in terminals, integrating with existing baggage systems and aircraft operations. The company combines AI perception, path planning, and fleet orchestration to reduce delays, labor costs, and emissions while improving ramp safety and throughput for airlines and ground-handling partners.

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