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Remote Robotics Engineer Localization Jobs in New York

Sr. Customer Solutions Engineer

New York, NY · Remote

$60.50 - $78/hr

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely ... Prior experience as a field engineer at a robotics, automation, or industrial controls company

... engineering and partner teams to build a scalable remote assistance product that can support ... Preferred Qualifications - Experience working on autonomous vehicles, robotics, or other autonomy ...

... a professional manner Remote technical support for customers as assigned in a timely and ... Robots and tools Handle, burn, and restore EPROM's and Ghost images Develop and maintain an ...

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Remote Robotics Engineer Localization information

What are the key skills and qualifications needed to thrive as a Remote Robotics Engineer specializing in Localization, and why are they important?

To excel as a Remote Robotics Engineer in Localization, you need a solid background in robotics, computer science, and mathematics, often supported by a relevant degree and experience in localization algorithms. Proficiency with tools like ROS (Robot Operating System), SLAM (Simultaneous Localization and Mapping) frameworks, and simulation environments such as Gazebo is typically required. Strong problem-solving, communication, and self-management skills are essential for collaborating effectively across distributed teams. These competencies ensure accurate robot navigation, successful project execution, and seamless remote teamwork in this technically demanding field.

What are Remote Robotics Engineer Localization jobs?

Remote Robotics Engineer Localization jobs involve developing and implementing algorithms and systems that enable robots to determine their position and orientation within an environment, all while working remotely. These engineers typically work on projects related to autonomous vehicles, drones, or industrial robots, focusing on technologies such as SLAM (Simultaneous Localization and Mapping), GPS, and sensor fusion. Their responsibilities can include software development, simulation, data analysis, and integration of localization solutions into robotic platforms. The remote aspect allows these professionals to collaborate with teams and deploy code from anywhere, often using virtual environments and remote access to robotic systems.

What is the difference between Remote Robotics Engineer Localization vs Remote Robotics Technician?

AspectRemote Robotics Engineer LocalizationRemote Robotics Technician
CredentialsBachelor's or higher in Robotics, Engineering, or related fields; certifications like ROS or embedded systemsTechnical diploma or associate degree; certifications in robotics or automation
Work EnvironmentDesign, development, and testing of robotic systems remotely; collaboration with engineering teamsMaintenance, troubleshooting, and installation of robotic systems remotely or on-site
Industry UsageUsed in robotics development companies, research labs, and manufacturingCommon in manufacturing plants, automation services, and technical support

Remote Robotics Engineer Localization focuses on designing and developing robotic systems remotely, requiring advanced engineering skills. In contrast, Remote Robotics Technician handles installation, maintenance, and troubleshooting, often with more hands-on tasks. Both roles are essential in the robotics industry but differ in responsibilities and required expertise.

How does a Remote Robotics Engineer specializing in Localization typically collaborate with cross-functional teams to ensure accurate robot navigation?

As a Remote Robotics Engineer focused on localization, you’ll frequently collaborate with software developers, hardware engineers, and data scientists to integrate and refine localization algorithms. Communication often involves regular virtual meetings, code reviews, and collaborative troubleshooting sessions to align system updates and deployment strategies. You’ll also work closely with QA teams to validate performance in diverse environments and may contribute to documentation to facilitate seamless integration across the robotics platform. This cross-functional teamwork is essential to ensure that robots can accurately determine their position and navigate reliably in real-world scenarios.
What are the most commonly searched types of Robotics Engineer Localization jobs in New York? The most popular types of Robotics Engineer Localization jobs in New York are:
What job categories do people searching Remote Robotics Engineer Localization jobs in New York look for? The top searched job categories for Remote Robotics Engineer Localization jobs in New York are:
What cities in New York are hiring for Remote Robotics Engineer Localization jobs? Cities in New York with the most Remote Robotics Engineer Localization job openings:
Staff Software Engineer, Localization

Staff Software Engineer, Localization

AeroVect

New York, NY • On-site, Remote

Full-time

Posted 13 days ago


Job description

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.
We are looking for a Staff Software Engineer to join the Localization team and own significant parts of our localization, mapping, and calibration stack as we scale autonomous ground operations across major airports. You'll take deep ownership of specific workstreams, contribute to the team's technical direction, and partner across the perception, planning, and platform interfaces to help drive the autonomous system from supervised operation to driverless. You'll work alongside the team's senior localization engineers.
You Will
  • 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

You Have
  • 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

We Prefer
  • MS or PhD with a focus on localization, state estimation, or calibration
  • Hands-on experience with multi-sensor calibration - intrinsic, extrinsic, and temporal
  • Experience with factor graphs, graph-based SLAM, or open-source tools like 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