Staff Software Engineer, Localization

🕒 Junho 18

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AeroVect

SiteLinkedInTodas as Vagas

11 - 50 funcionários

📦 Logística

💼 Consultoria

🚀 Aeroespacial

💰 Seed Round em 2022-07

Logistics • Consulting • Aerospace

A AeroVect é uma empresa de tecnologia que se especializa em automação avançada para Equipamentos de Apoio em Solo (GSE) na indústria da aviação. O principal produto da empresa, o AeroVect Driver, é um sistema de direção autônoma altamente escalável e agnóstico em relação ao OEM, projetado para melhorar a segurança, a produtividade e a sustentabilidade nas operações de manuseio em solo. Confiada por companhias aéreas e operadores líderes, a AeroVect pretende revolucionar as operações em áreas de tráfego aéreo com sua tecnologia de direção autônoma de primeira linha, desenvolvida no Vale do Silício para o mercado global de aviação.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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