Software Engineer II (SLAM)

Software Engineer II (SLAM)

At Thoro, we're on a mission to deliver the benefits of autonomous mobile robotics in complex industrial environments. It all starts with the Thoro autonomy stack, a platform created from industry-leading software and hardware and designed to adapt across a variety of industries and conditions. The stack consists of world-class autonomy software, highly customizable robotic fleet management solutions, a deployment and ops support service, and advanced low-cost hardware solutions.

This is not a research project: we are focused on autonomy at scale, and we've forged commercial partnerships with leading OEMs. Moreover, we have two world-class products scaling globally now - an autonomous pallet mover, and an autonomous floor scrubber, and we are well-positioned to further develop our autonomy stack into other products and verticals.

We are succeeding because we have built a great team with incredible industry and subject matter expertise. We also have a collaborative and optimistic outlook on the future of robotics in the workplace. Finally, our technical foundation, focus on vision-based machine learning, and relentless pursuit of achieving great performance on the lowest cost hardware stack possible, give our products a competitive advantage.

Job Summary

We are looking for a Software Engineer with 5+ years of SLAM experience. The ideal candidate is someone who understands our unique business needs and can provide effective solutions while following industry practices, forging groundbreaking new territory and managing the team as they execute the solution.

Qualifications

Must have:

• 5+ years of industry experience developing robotic perception algorithms
• Understanding of SLAM techniques (EKF, graph SLAM, particle filters)
• Excellent software development habits, experience developing production-level code in C/C++
• Ability to develop and build code in Linux-based environments
• Familiarity with version control (Git), automated testing, and technical documentation
• Excellent communication skills
• Experience with Publisher Subscriber architectures

Would like:

• Prior experience with SLAM libraries (GTSAM, ORB-SLAM, Google Cartographer)
• Prior experience with AMR’s
• Strong math skills with a background in computational geometry, non-linear optimization, linear algebra
• Experience with classical computer vision algorithms like 3D reconstruction, image restoration, and anomaly detection
• Deep learning frameworks for image segmentation and scene understanding
• Knowledge of real-time multi-modal sensor fusion (camera, LiDAR, IMU, encoder)

Responsibilities and Duties

• Develop subsystem roadmaps to meet the customer requirements
• Manage the team to execute the roadmap
• Participate in and facilitate review of software best practices through design and code reviews
• Evaluate the performance of the software through unit, regression, and on-robot testing
• Investigate robot issues by analyzing logs
• Help integrate and evaluate alternative sensors and algorithms