Mach9 builds location intelligence software to help civil engineering and government customers analyze massive amounts of geospatial sensor data. We've been working on software automation for common surveying workflows and are driven to bring perception software from self-driving to industries that need it today. We’re building a team of the top technologists, thinkers, and hackers looking to define the future of cities to improve the use of the world’s limited resources and prevent infrastructure failures before they happen.
Mach9 graduated from Y Combinator’s Summer 2021 class and spun out from the Robotics Institute at Carnegie Mellon. We leverage advances in robotics technology to solve today’s hardest world problems.
Responsibilities:
- Analyze, design, develop, and test existing and new SLAM capabilities using cameras and LIDAR sensor inputs.
- Create experiments and prototype implementations of new SLAM algorithms.
- Deliver high quality production level code and support systems in production.
- Work effectively with multi-disciplinary teams of engineers, product managers, and domain experts.
- Ability to take on an ownership role and operate independently.
Requirements:
- Deep background in Robotics, Computer Science, Machine Learning, or other related fields; an MS/PhD is ideal
- Extensive background and understanding of SLAM algorithms
- Comfortable writing high-quality code in Linux/C++/Python
- Fluency with math fundamentals (calculus, optimization, probability, linear algebra).
Mach9 Robotics
