Mapping & Localization Engineer
Serve Robotics- Full Time
- Junior (1 to 2 years)
Candidates should possess demonstrated experience deploying state estimation algorithms in real robots, including Kalman filters, particle filters, structure from motion, and visual inertial odometry. A deep understanding of the design tradeoffs involved in fusing various sensing technologies such as cameras, LiDAR, RADAR, GNSS, and IMUs is required, along with proficiency in modern C++ and experience writing efficient algorithms for resource-constrained embedded systems.
As a Localization Engineer, you will be responsible for implementing new features to improve the stability and reliability of pose estimates, designing mitigation and fallback strategies, creating robust sensor calibration routines, researching and prototyping state estimation algorithms, architecting and implementing software applications, and validating solutions on real vehicles in real-world scenarios. You will also work closely with perception, planning, and controls engineers to design and evolve pose and localization systems, and contribute to code quality through reviews and documentation.
Autonomous AI solution for efficient farming
Agtonomy focuses on improving farming through technology with its product, TeleFarmer. TeleFarmer is an autonomous device that helps farmers perform various labor-intensive tasks, even in difficult terrains, which lessens their physical workload. Accompanying the device is an app that enables farmers to plan tasks, assign them, monitor progress, and review performance reports easily. This combination of hardware and software allows for more efficient management of agricultural fields. Unlike many competitors, Agtonomy offers a trial of their solution, allowing potential customers to experience its benefits before committing to a purchase. The company's goal is to enhance farming efficiency and profitability, making it easier for farmers to manage their operations.