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Senior Engineer, State Estimation
Virtual
The Role
We are looking for a state estimation and perception algorithms 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 & Responsibilities
- Design and develop state estimation solutions that run online on our autonomous vehicle
- Define meaningful metrics and deliver solutions to achieve them
- Work within the perception team to leverage data, and with other teams to deliver solutions ready for deployment on the autonomous vehicle
- Mentor and guide other team members to help achieve overall perception goals
Qualifications
- Skilled with modern C++, Python
- Experience building state of the art state estimation solutions for real time applications in robotics, including E/KFs, factor graphs, optimization
- Experience building mapping and calibration solutions
- Experience working with camera, lidar, and/or radar data in autonomy application
- Comfort iterating on complex problems and models: problem definition, data, bring-up, debugging, evaluation and deployment
- Excellent communication skills
- Self-starter, able to work and overcome challenges independently
Compensation & Benefits
- Salary: $145,000 - $165,000
- Equity: Significant equity package commensurate on experience and skills
- Benefits: Full health benefits
- Fully remote, with exciting opportunities to travel to our Denver headquarters for team collaborations and special events.
- Home office stipend up to $500 to help you create a comfortable and productive workspace.
- Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor.
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