Senior Software Engineer, Inertial Navigation

We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule and you will report to a Software Engineering Manager.

- 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.

- 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.