Staff Software Engineer, Localization

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AeroVect

Site WebLinkedInTous les Emplois

11 - 50 employés

📦 Logistique

💼 Conseil

🚀 Aérospatiale

💰 Seed Round en 2022-07

Logistics • Consulting • Aerospace

AeroVect est une entreprise technologique spécialisée dans l'automatisation avancée des équipements de soutien au sol (GSE) dans l'industrie de l'aviation. Le produit phare de la société, AeroVect Driver, est un système de conduite autonome hautement évolutif, compatible avec tous les fabricants, conçu pour améliorer la sécurité, la productivité et la durabilité des opérations de manutention au sol. Plébiscitée par les grandes compagnies aériennes et les prestataires de services au sol, AeroVect vise à révolutionner les opérations côté piste avec sa technologie de conduite autonome de premier plan, développée dans la Silicon Valley pour le marché mondial de l'aviation.

Description

• Take ownership of one or more core areas of the localization stack (LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration) and drive it to production reliability on real hardware at active airports • Contribute across the broader localization and mapping pipeline from sensor integration, performance tuning, regression testing, and deployment to new operating environments • Help design and build online validation that monitors localization integrity and cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture • Develop tooling for diagnostics, health logging, and post-mission analysis across the stack • Contribute to the regression, validation, and release-gating approach for localization changes deployed to active airports • Deploy, test, and iterate using data from real autonomous operations

🎯 Exigences

• 8+ years in robotics or autonomous vehicles, with a track record of owning localization or state-estimation systems through production deployment on real hardware • Deep practical grounding in multi-sensor fusion and state estimation across LiDAR, IMU, GNSS, and cameras • Demonstrated technical leadership - driving architecture across teams, setting direction, and being the person others escalate to on hard estimation problems • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF), with the judgment to know when each applies • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2 • Understanding of how calibration quality propagates through localization and perception, and how localization errors propagate into the safety case • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field • MS or PhD with a focus on localization, state estimation, or calibration is preferred

🏖️ Avantages

• Competitive salary • Flexible work hours • Professional development budget • Home office setup allowance • Global team events