Senior SLAM Engineer - Edge Localization for Heavy Machinery

AIM; Seattle (WA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Robust benefits package

Collaborative work environment

Professional development opportunities

Job summary

AIM in Seattle is seeking a Senior SLAM Machine Learning Engineer to design and implement innovative SLAM systems for autonomous machines operating in challenging environments. The ideal candidate has over 5 years of experience in localization systems and a robust understanding of sensor calibration and state estimation methodologies.

This role requires strong programming skills in C++ and Python, alongside a background in robotics and complex algorithm development. Join us in pushing the boundaries of autonomous technology.

Qualifications

• 5+ years of professional experience building SLAM, state estimation, or localization systems.
• Strong mathematical foundation in 3D geometry, linear algebra, and optimization.
• Experience with modern state estimation techniques and optimization frameworks.

Responsibilities

• Design, develop, and deploy state estimation and mapping systems for robots.
• Architect multi-sensor fusion algorithms for real-time state estimation.
• Use field data to analyze performance and improve system reliability.

Skills

SLAM expertise

C++ programming

Sensor calibration

3D geometry

Robust algorithms development

Education

Bachelor's or Master’s degree in Computer Science, Robotics, Electrical Engineering or related field

Tools

LiDAR

GNSS

IMU

Python

Job description

AIM in Seattle is seeking a Senior SLAM Machine Learning Engineer to design and implement innovative SLAM systems for autonomous machines operating in challenging environments. The ideal candidate has over 5 years of experience in localization systems and a robust understanding of sensor calibration and state estimation methodologies.

This role requires strong programming skills in C++ and Python, alongside a background in robotics and complex algorithm development. Join us in pushing the boundaries of autonomous technology.