Related skills
python lidar camera slam imu📋 Description
- Design, implement, and maintain solutions for estimating the pose of vehicles and other assets, such as trailers
- Rigorously evaluate and test solutions to verify the safety and efficiency of the localization system
- Collaborate with engineers and stakeholders on partner teams to solve problems of high importance to Aurora products
🎯 Requirements
- 5+ years of industry experience building software in a production environment
- Proficient in C++ and Python using modern best practices
- Graduate level degree in CS/Robotics/EE
- Deep knowledge of state estimation theory and practice (one or more of sensor fusion, Kalman Filtering, non-linear estimation, SLAM)
- Experience in estimation and modeling with sensor data (lidar, IMU, radar, camera)
- Deep understanding in relevant areas of mathematics, including spatial transforms, linear algebra, probabilistic estimation
🎁 Benefits
- Hybrid work environment (in-office 3 days/week)
- Competitive benefits package
- Eligibility for annual bonus and equity
- Career growth and cross-team collaboration
- Inclusive, safety-focused culture
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