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# Senior Localization Software Engineer

- **Company:** Kwan Co Inc
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 3D Scanning, Computer Vision, Automation of Tests, Ubuntu (Operating System), Continuous Integration, Software Debugging, Linux, Python (Programming Language), Software Engineering, Robot Operating System, Mobile Robots, Git Flow, C++14, Docker, Pose Estimation
- **Published:** November 13, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvsowly6c

## About the Role

* Localization software engineering - 5+ years
 * ROS1 and ROS2 - 3+ years
 * Modern C++ (C++14 or later)
 * Python
 * Solid foundation in 3D computer vision, 3D geometry, multi-view geometry, structure from motion, SLAM or pose estimation
 * Experience with large-scale sensor data (camera, perception outputs, vehicle poses, IMU, lidar or map data)
 * Linux (Ubuntu) debugging, logs, profiling and performance analysis
 * Git workflows and CI/CD
 * Root cause analysis and automated testing (unit/integration)
 * Real-world deployment experience of robotics/localization systems at customer sites
 * English C1, * Experience building maps, 3D reconstruction, perception systems or sensor-fusion pipelines for robotics or autonomous driving
 * Background in large-scale mapping, map fusion, change detection, road topology or semantic map generation
 * Filter design and Bayesian processes
 * Experience with safety PLCs, software watchdogs, health monitoring and diagnostics
 * AMR (autonomous mobile robotics) industry experience
 * Automated simulation validation

## Description

Robotics software company developing platforms for autonomous mobile robots. The team builds the software stack that drives fleets of autonomous mobile robots in real-world deployments such as airports and industrial warehouses, currently evolving the platform from ROS1 to ROS2 to improve robustness and scalability.

What you will do

 * Improve the robustness, accuracy and stability of deployed localization and mapping solutions
 * Analyse recurring localization and navigation failures and trace them to their algorithmic root cause
 * Ensure algorithms perform well on large volumes of real and synthetic sensor data across diverse environments
 * Improve the testability and quality of localization algorithms, including metrics and simulation-based validation
 * Support the migration of the robotics stack from ROS1 to ROS2
 * Debug issues across ROS1, ROS2, Docker and Linux layers, and improve recovery and fault-handling strategies
 * Support customer deployments remotely (no travel expected)