Job Description
Perception Algorithms & State Estimation Engineer We are looking for a Perception Algorithms & State Estimation Engineer to solve complex perception and state estimation problems for online autonomy. The ideal candidate has experience with developing and deploying algorithms in robotics using camera, lidar, and/or radar data. The types of problems the candidate will address may include: object detection and tracking. State estimation for localization, mapping, and sensor calibration. Modeling and estimating tractor/trailer states, including path curvature, ego and trailer pose, trailer angle, trailer wheelbase/length. Duties & ResponsibilitiesDesign and develop state estimation solutions that run online on our autonomous vehicleDefine meaningful metrics and deliver solutions to achieve themWork within the perception team to leverage data, and with other teams to deliver solutions ready for deployment on the autonomous vehicleMentor and guide other team members to help achieve overall perception goalsQualificationsSkilled with modern C++, PythonExperience building state of the art state estimation solutions for real time applications in robotics, including E/KFs, factor graphs, optimizationExperience building mapping and calibration solutionsExperience working with camera, lidar, and/or radar data in autonomy applicationComfort iterating on complex problems and models: problem definition, data, bring-up, debugging, evaluation and deploymentSelf-starter, able to work and overcome challenges independentlyGood-to-have qualificationsFamiliarity with state of the art, best practices, and research in motion planning and/or controlsAbility to design, implement, and deploy motion planning and/or control software stacksCompetitive Compensation PackageOwnership of projects from day one, highly collaborative teams and a dynamic work environmentAnnual career development stipend to support and encourage your career growthAllowance for home office set upBusiness trips to our headquarters in Denver, Colorado to stay connected with the team (3-4 times/year)