Job Title: Staff Software Engineer, Localization, Calibration & Mapping
Location: 100% Remote (Amsterdam, Berlin, Dublin, Frankfurt, Italy, London, Paris, Munich, Poland, Stockholm, United Kingdom (Remote), Atlanta - Hybrid, Toronto - Remote, Vancouver (Remote))
Salary Range: $250,000 - $300,000 Per Year
Job Type: Direct Hire

Sponsorship: Yes, Company provides visa sponsorship

Job Overview

An autonomous mobility company seeks a Staff Software Engineer to enhance localization, calibration, and mapping systems for mixed indoor-outdoor environments. You will implement new localization capabilities, maintain sensor calibration across vehicles and time, and develop topographical maps. This 100% remote role involves collaboration with planning, perception, and infrastructure teams for successful autonomous system deployment.

Key Responsibilities

• Identify and solve gaps in current localization and mapping systems operating in mixed environments.

• Implement, deploy, test, and maintain new localization capabilities for autonomous systems.

• Develop and maintain sensor calibration across sensors, time, and vehicles.

• Create online validation and calibration tools.

• Develop and maintain topographical maps of operating environments.

• Collaborate with localization, planning, perception, and infrastructure teams for system deployment.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or related field.

• 1+ years of work experience in robotics, industrial automation, or autonomous driving development.

• Theoretical knowledge in localization or calibration.

• Strong C++ programming skills.

• Working experience with Linux-based OS (Ubuntu, Debian) and ROS/ROS2 middleware, OpenCV.

• Proven experience with non-linear optimization like graph-based optimization or filtering algorithms (EKF, UKF, Particle filters).

• Experience with sensors such as LiDARs, Camera, IMU, GPS/GNSS, Radar.

• Highly collaborative nature with exceptional communication and problem-solving skills.

Preferred Qualifications

• MS or PhD in Computer Science, Math, Robotics, or related field.

• 2-4 years of work experience in robotics, industrial automation, or autonomous driving.

• In-depth understanding of middleware frameworks like ROS2.

• Proven experience with factor graphs and graph SLAM algorithms.

• Experience with non-linear solvers like Ceres, GTSAM, g2o.

• Proven experience working with GPS/GNSS systems integrated into INS solutions.

• Proven track record of system development and deployment of unmanned systems.

• Mastery of modern C++ (14 and beyond) and safety-critical coding practices.

• Experience with open-source algorithms like Google Cartographer, SLAM Toolbox, Kalibr, ORB-SLAM 3, Stella-VSLAM, GLIM, LIO-SAM, VINS-Fusion, Robot Localization.

Benefits

• Flexible PTO and paid holidays

• Comprehensive medical coverage

• Equity for all employees

• Daily meals and snacks