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
Thoro.ai is an Equal Opportunity Employer that welcomes applications from all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, marital status, or status as a covered veteran in accordance with applicable laws and Thoro's employment policies.