7 months ago
Remote, United States +3 moreSenior / Staff+
Base Salary
$141k - $242k/yr
Responsibilities
- Act as a domain expert in real-time vehicle localization and state estimation.
- Design, implement, and optimize multi-sensor fusion algorithms using IMU, LiDAR, Radar, Camera, GNSS, and wheel encoder data.
- Develop mathematical models for factor graph optimization, Kalman filters, and related state estimation systems.
- Write highly optimized, low-latency Rust code for real-time execution on vehicle compute devices.
- Collaborate with Perception and Mapping teams to integrate map data and semantic landmarks into localization.
- Build evaluation frameworks for localization accuracy, integrity, and fault tolerance across simulation and physical test environments.
Requirements
- BS, MS, or PhD in Robotics, Computer Science, Aerospace Engineering, Electrical Engineering, or a related field.
- At least 5 years of industry experience.
- Deep expertise in probabilistic robotics, state estimation, and 3D geometry, including Gaussian estimation, filtering, smoothing, and mapping.
- Experience building and optimizing online or offline SLAM systems and knowledge of point-cloud registration algorithms such as ICP.
- Hands-on experience processing and fusing physical sensor data, including IMU, LiDAR, Radar, and GNSS.
- Strong systems-level programming skills in modern C++ and/or Rust, including memory management, concurrency, and real-time computing.
- Proficiency in Python for data analysis, prototyping, and tooling.
- Strong foundation in linear algebra, calculus, and probability theory.
- Track record of deploying complex state estimation algorithms on physical robots or autonomous vehicles.
- Familiarity with GTSAM, Ceres Solver, or g2o is preferred.
- Experience applying deep learning or AI/ML models to localization and feature matching is preferred.
- Experience with high-speed highway autonomous driving constraints is preferred.
Benefits
- Competitive compensation and equity awards.
- Medical, dental, and vision coverage for full-time employees.
- Unlimited vacation.
- Flexible hours and work-from-home support.
- Daily drinks, snacks, and catered meals when in the office.
- Regular on-site, off-site, and virtual team-building activities and social events.
About Waabi
Waabi builds AI-driven self-driving technology for long‑haul freight, centered on the Waabi Driver autonomous trucking system and the Waabi World simulator. The company partners with carriers and vehicle makers to commercialize autonomous trucks and explores robotaxi applications. Founded in 2021 by Raquel Urtasun, Waabi is privately held, headquartered in Toronto, with offices in San Francisco, Dallas, and Pittsburgh.