Publié il y a 14 jours
Staff Software Engineer, Motion Planning
@ AeroVect
En bref
AeroVect is hiring a Staff Software Engineer to design and build the mission, behavior and motion planning software for autonomous ground support equipment in airport airside environments. The role owns core planning architecture and algorithms, works across the full planning pipeline, and mentors other engineers. It is a full-time role, with the employer's stated requirements centred on extensive planning experience and strong C++ or Python.
Responsabilités :
- Design and implement mission, behavior and motion planners for airside autonomous vehicles
- Drive architecture and algorithm decisions across the planning stack
- Prototype and evaluate new planning approaches for production
- Collaborate with perception, controls and localization teams
- Establish software safety and development best practices
Résumé des exigences :
- Bachelor's or Master's in computer science, robotics, engineering or related field
- Extensive experience shipping planning modules for autonomous systems
- Strong C++ or Python and Linux experience
- Ability to independently drive ambiguous problems to solutions
- MS or PhD preferred; 5+ years in ground vehicle planning preferred
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-10-23
- Première détection par notre source
- 2026-10-23
- Mise à jour du dossier source
- 2026-10-23
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau, Chez les clients |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé), Maîtrise (préféré) |
| Domaines d’études | Computer Science, Mathematics, Electrical Engineering, Mechanical Engineering, Robotics |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
AeroVect
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The Airport Automation Company
Description complète de l’entreprise
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
- Abonnés LinkedIn
- 5 376
- Personnes associées sur LinkedIn
- 63
- Bureaux déclarés
- 233 E Harris Ave, South San Francisco, California 94080, US
- Toronto, Ontario, CA
- Atlanta, Georgia 30308, US
- Frankfurt, DE
- New York, 10007, US
- Catégories d’activité
- Air Transportation
- Robotics
- Software
- Logistics
- Transportation
- Artificial Intelligence (AI)
- Aerospace
- Autonomous Vehicles
- Manufacturing
- Autres noms enregistrés
- AeroVect
- Spécialités
- Aviation
- Autonomous Driving
- Aerospace
- Transportation
- Logistics
- Airport Automation
- Physical AI
- and Artificial Intelligence
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 27 000 000
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
AI-powered airport logistics automation solutions, trusted by the world's largest airlines and airports.
| Champ | Valeur |
|---|---|
| Secteur | Airlines and Aviation |
| Taille | 51-200 employees |
| Siège social | South San Francisco, California |
| Type d’organisation | Privately Held |
| Fondée en | 2020 |
| Spécialités | AviationAutonomous DrivingAerospaceTransportationLogisticsAirport AutomationPhysical AIand Artificial Intelligence |
| Offres sur Jobsy | 16 |
| Voir la page |
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.
Journal
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