Staff Software Engineer, Localization

🕒 September 24

🌐 Poland, United Kingdom, +3 more countries – Remote

🇵🇱 Poland – Remote 🇬🇧 United Kingdom – Remote 🇫🇷 France – Remote 🇨🇦 Canada – Remote 🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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AeroVect

WebsiteLinkedInAll Job Openings

11 - 50 employees

📦 Logistics

💼 Consulting

🚀 Aerospace

💰 Seed Round on 2022-07

Logistics • Consulting • Aerospace

AeroVect is a technology company that specializes in advanced automation for Ground Support Equipment (GSE) in the aviation industry. The company's flagship product, AeroVect Driver, is a highly scalable, OEM agnostic self-driving system designed to improve safety, productivity, and sustainability in ground handling operations. Trusted by leading airlines and handlers, AeroVect aims to revolutionize airside operations with its premier self-driving technology, built in Silicon Valley for the global aviation market.

📋 Description

• Own one or more core areas of the localization stack, including LiDAR-inertial-GNSS state estimation, 3D mapping and map maintenance, or sensor calibration • Drive localization workstreams to production reliability on real hardware at active airports • Contribute across sensor integration, performance tuning, regression testing, and deployment to new operating environments • Design and build online validation monitoring localization integrity and cross-sensor consistency during live missions • Detect localization drift and integrate validation with the vehicle’s safety architecture • Develop tooling for diagnostics, health logging, and post-mission analysis • Contribute to regression, validation, and release-gating approaches for localization changes deployed to active airports • Deploy, test, and iterate using data from real autonomous operations • Contribute to the team’s technical direction and partner across perception, planning, and platform interfaces • Help drive autonomous ground operations from supervised operation toward driverless operation

🎯 Requirements

• 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 and setting direction • Strong command of non-linear optimization (Ceres, GTSAM, g2o) and/or filtering (EKF, UKF) • Strong modern C++ (C++17+) and deep working experience with Linux and ROS/ROS2 • Understanding of calibration quality propagation through localization and perception, and localization errors into the safety case • BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field • Hands-on experience with multi-sensor calibration—intrinsic, extrinsic, and temporal • Experience with factor graphs, graph-based SLAM, or tools such as GLIM, LIO-SAM, Cartographer, Kalibr, Ceres, GTSAM • Experience building online/runtime monitoring and defining safety-relevant thresholds within a safety monitoring architecture • Track record of taking an autonomous system toward driverless operation