AeroVect
via Ashby
Staff Software Engineer, Motion Planning
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 20d ago
The date the source published, not the day we noticed it (2026-08-25). Last seen at its source 3h ago.
Is it remote?
Remote, Toronto - Remote, United Kingdom (Remote), Vancouver - Remote
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Italy, Poland, Stockholm, Amsterdam, Paris, Toronto, Frankfurt, United Kingdom, Vancouver, Atlanta
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay PLN 319k–368k/yr
Middle 50% of 25 listings that do state pay — Engineering · all levels · Poland · PLN/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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ashby employer's own board first seen 11d ago · last seen 3h ago
The listing
Who We Are
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.
Job Description
We are looking for an experienced Staff Software Engineer who can design and build best-in-class planning systems for autonomous driving in structured, low-speed environments.
In this role, you'll be the technical backbone of the planning stack — owning the design and implementation of production-grade mission planning, behavior planning, and motion planning software. You'll work across the full planning pipeline to achieve category-defining vehicle autonomy for the airside, tackling hard problems in trajectory optimization, decision-making under uncertainty, and real-time constraint optimization.
This opportunity offers a deeply technical engineer the chance to shape a market-defining enterprise product that combines autonomous vehicle technology with a robotics-as-a-service (RaaS) business model. This role reports to our Planning Tech Lead and works closely with the autonomy engineering team.
You Will:
Design, implement, and iterate on the mission planner, behavior planner, and motion planner for autonomous ground support equipment operating in airport airside environments.
Drive key technical decisions across the planning stack — selecting algorithms, defining interfaces, and establishing the architecture that the team builds on.
Prototype and evaluate new planning approaches (e.g., optimization-based methods, search-based planners, learning-augmented pipelines) and bring the best ideas to production.
Collaborate cross-functionally with perception, controls, localization, and systems engineering teams to deliver an integrated autonomous driving system.
Establish and promote best practices in software development, functional safety, and systems engineering as they apply to the planning domain.
Mentor other engineers through technical guidance, code review, and design discussions.
You Have:
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 shipped to production or deployed in real-world operations.
Strong programming skills in C++ (preferred) or Python, and experience with Linux-based operating systems.
Demonstrated ability to take ambiguous technical problems and drive them to well-architected solutions independently.
Excellent communication skills, proactiveness, and a strong sense of ownership.
We Prefer:
MS or Ph.D. in Computer Science, Robotics, or a related field.
Mastery of Modern C++ (14 and beyond) and safety-critical coding practices (e.g., MISRA, ISO 26262).
5+ years of industry experience in planning for robotic ground vehicles.
In-depth understanding of DDS frameworks like ROS/ROS2 or other networking middleware.
Experience in startup environments, demonstrating adaptability to rapidly changing priorities.