AeroVect

2 days ago

Staff Software Engineer, Motion Planning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Own and evolve production-grade mission, behavior, and motion planning software for autonomous ground support equipment in airport airside environments. Drive architecture and algorithm choices across the full planning pipeline—trajectory optimization, uncertainty-aware decision-making, and real-time constraint optimization. Collaborate with perception, controls, localization, and systems engineering to deliver an integrated autonomy stack, establish software and functional-safety best practices, and mentor engineers through technical guidance and design reviews.

Location: United States, United Kingdom, Italy, Poland, Stockholm, London, Amsterdam, Paris, Toronto, Vancouver, Atlanta, Netherlands

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and iterate on mission, behavior, and motion planners for autonomous ground support equipment in airport airside environments.
•Make key technical decisions across the planning stack, including algorithm selection, interface definition, and overall architecture.
•Prototype and evaluate planning approaches (optimization-based, search-based, and learning-augmented pipelines) and bring improvements to production.
•Collaborate with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
•Establish software development, functional safety, and systems engineering best practices for the planning domain; mentor engineers through technical guidance and design discussions.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
•Extensive hands-on experience designing and implementing planning modules for autonomous systems deployed in real-world operations.
•Strong programming skills in C++ (preferred) or Python, with experience on Linux-based operating systems.
•Ability to take ambiguous technical problems and drive them to well-architected solutions independently.
•Excellent communication skills, proactiveness, and strong sense of ownership.

Experience:Autonomous drivingRoboticsAutonomous systemsPlanningStartup environments

Education:Bachelor's

Skills:CommunicationProactivenessOwnershipMentoringCode reviewDesign collaborationTechnical ownership

Tech Stack:C++PythonLinuxROSROS2DDSTrajectory optimizationOptimization-based methodsSearch-based planners

Company Brief

AeroVect

AeroVect develops autonomous driving systems (AeroVect Driver) for ground support equipment to automate baggage, cargo and airfield logistics using lidar, radar, cameras and embodied AI, deploying at major airports and working with airlines and ground handlers.

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor

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AeroVect

2 days ago

Staff Software Engineer, Motion Planning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: United States, United Kingdom, Italy, Poland, Stockholm, London, Amsterdam, Paris, Toronto, Vancouver, Atlanta, Netherlands

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and iterate on mission, behavior, and motion planners for autonomous ground support equipment in airport airside environments.
•Make key technical decisions across the planning stack, including algorithm selection, interface definition, and overall architecture.
•Prototype and evaluate planning approaches (optimization-based, search-based, and learning-augmented pipelines) and bring improvements to production.
•Collaborate with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
•Establish software development, functional safety, and systems engineering best practices for the planning domain; mentor engineers through technical guidance and design discussions.

Key Requirements

•Bachelor's or Master's degree in Computer Science, Math, Electrical Engineering, Mechanical Engineering, Robotics, Physics, or a related field.
•Extensive hands-on experience designing and implementing planning modules for autonomous systems deployed in real-world operations.
•Strong programming skills in C++ (preferred) or Python, with experience on Linux-based operating systems.
•Ability to take ambiguous technical problems and drive them to well-architected solutions independently.
•Excellent communication skills, proactiveness, and strong sense of ownership.

Experience:Autonomous drivingRoboticsAutonomous systemsPlanningStartup environments

Education:Bachelor's

Skills:CommunicationProactivenessOwnershipMentoringCode reviewDesign collaborationTechnical ownership

Tech Stack:C++PythonLinuxROSROS2DDSTrajectory optimizationOptimization-based methodsSearch-based planners

Company Brief

AeroVect

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor