Waymo is seeking to improve the accuracy and robustness of its core state estimation algorithm for autonomous driving technology by developing and deploying production-quality C++ software that fuses data from various advanced sensors.
Requirements
- Expertise in state estimation theory and application, including Kalman Filters, particle filters, factor graphs, and nonlinear optimization techniques.
- Deep understanding of inertial navigation principles, including sensor modeling, IMU error characterization, calibration, and multi-sensor fusion with GNSS and other aiding sensors.
- Strong C++ skills and ability to write high quality production level code.
- Previous experience in the autonomous vehicle industry, particularly in inertial navigation, localization, perception, or sensor fusion.
- Experience with computer vision, visual inertial odometry, SLAM, ICP or other sensor modalities.
- Experience developing and using tools for large-scale data analysis and visualization (e.g., SQL, Python with libraries like NumPy, Pandas, Matplotlib).
- Familiarity with machine learning techniques applied to sensor fusion, sensor calibration, or positioning problems.
Responsibilities
- Develop algorithms to improve the accuracy and robustness of our core state estimation algorithm.
- Engineer and deploy robust, production-quality C++ software to fuse data from inertial, GNSS, and other advanced sensors into our algorithm for both new and existing vehicle platforms.
- Build and maintain tools, pipelines, and evaluation frameworks to rigorously assess positioning system performance across millions of miles of real-world driving data.
- Leverage Waymo's massive datasets to conduct large-scale analyses and optimizations, fine-tune sensor models, characterize system performance, identify root causes of failures, and establish performance guarantees.
- Collaborate closely within a multi-disciplinary team of engineers to solve complex technical challenges, contribute to a culture of high standards, and share your expertise with fellow team members.
Other
- MS, PhD or equivalent industry experience.
