Salary Range: 160000 to 220000 (Currency: USD) (Pay period: per-year-salary)

What You’ll Do

• Implementing new features to improve the stability and reliability of our local and global pose estimates.
• Designing mitigation and fallback strategies for the pose estimation systems.
• Creating robust online and offline sensor calibration routines that perform reliably in complex and unpredictable environments.
• Researching, prototyping, and experimenting with various sensors and state-of-the-art state estimation algorithms.
• Architecting, designing, and implementing software applications, as well as onboard and offboard infrastructure and tools to support those applications.
• Developing portable, scalable, and fast geometry and optimization libraries.
• Writing performant, well-tested software, and improving code quality of the entire Autonomy team through code and design reviews.
• Validating your solutions on real vehicles in real-world scenarios.

What You’ll Bring

• Demonstrated experience deploying state estimation algorithms in real robots: Kalman filters, particle filters, structure from motion, visual inertial odometry, etc.
• Deep understanding of the design tradeoffs involved when fusing various sensing technologies: cameras (mono and stereo), LiDAR, RADAR, GNSS, IMUs, wheel encoders, etc.
• Experience implementing state estimation math effectively in software with the following libraries: Eigen, Ceres, GTSAM, etc.
• Strong proficiency in modern C++ and experience writing efficient algorithms for resource-constrained embedded systems.
• Ability to thrive in a fast-moving, collaborative, small team environment with lots of ownership.
• Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate with interdisciplinary stakeholders outside of Autonomy.
• An eagerness to get your hands dirty by testing your code on real robots at real customer farms (gives “field testing” a whole new meaning!).

What Makes You a Strong Fit

• Experience architecting state estimation systems from scratch and understanding the design tradeoffs when leveraging filters, pose graph optimization, etc.
• Experience with state-of-the-art visual and/or lidar odometry algorithms.
• Experience implementing custom factors for factor graph optimization.
• Thinks/dreams in Lie algebra.
• 5+ years of software development experience in autonomy, robotics, or a related field.
• MS or PhD in Robotics, Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Passion for sustainable agriculture and electric vehicles.