Senior / Staff Software Engineer, Localization
Waabi· Software – Autonomy & Algorithms
Hybrid (San Francisco, CA), Hybrid (Pittsburgh, PA), Hybrid (Remote Canada), Hybrid (Remote US), Hybrid (Toronto, ON)$141k - $242kFull-timePosted 6mo ago
About the role
Senior or Staff Software Engineer on the Localization team responsible for developing precise state estimation systems for vehicle localization, enabling centimeter-accurate pose estimation in GPS-denied or degraded environments, and collaborating with Perception and Mapping to fuse multi-sensor data in real-time.
Responsibilities
- Act as a deep domain expert in state estimation, pushing the boundaries of real-time vehicle localization.
- Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc.
- Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc.
- Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time.
- Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline.
- Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World and on physical test tracks.
Qualifications
- BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum of 5 years of industry experience.
- Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping).
- Proven experience building and optimizing online and/or offline SLAM systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP).
- Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.).
- Exceptional systems-level programming skills in modern C++ and/or Rust, with strong memory management, concurrency, and real-time computing constraints.
- Proficiency in Python for data analysis, prototyping, and tooling.
- Strong mathematical foundation in linear algebra, calculus, and probability theory.
- Proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles.
Skills
Required:State estimationMulti-sensor fusionC++Rust
Nice to have:Python
Benefits
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
Last updated Oct 21, 2026. Interested? Apply on the company site.
About Waabi
pioneering Physical AI, starting with autonomous trucks.
Waabi is pioneering Physical AI, starting with autonomous trucks. We developed a next-generation approach leveraging an end-to-end interpretable and verifiable AI model that’s powered by the industry's most realistic neural simulator. This dramatically reduces the development time and resources needed to bring self-driving vehicles to public roads — safely and at scale.
Autonomous trucksPhysical AIneural simulatorAI modelself-driving vehicles
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