Waabi Innovation Inc. logo

Senior / Staff Software Engineer, Localization

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Category

Software Engineering

Date Posted

April 4, 2026

Full Job Description

📋 Description

  • • As a Senior/Staff Software Engineer in Localization at Waabi Innovation Inc., you will play a critical role in advancing Physical AI for autonomous transportation by developing core state estimation systems that enable safe, scalable self-driving technology for commercial trucks and robotaxis.
  • • You will lead and contribute to robotics and computer vision projects focused on ensuring accurate, low-latency state information is available to self-driving software, including developing online and offline localization, global localization, state bootstrapping, and robust deep-learning observation models for challenging environments.
  • • You will work within a multidisciplinary team of research scientists and engineers across Toronto, San Francisco, Dallas, and Pittsburgh, collaborating closely with mapping, motion planning, and control teams to build and maintain rigorous metrics and evaluation pipelines for key localization performance.
  • • In this role, you will own and shape a key component of Waabi’s state estimation software, define technical deliverables, establish meaningful milestones, and develop novel methods that run efficiently on real-world hardware using state-of-the-art sensors, ensuring long-term stability, robustness, and performance.

Skills & Technologies

Python
Rust
AWS
Azure
GCP
Senior
Remote
Degree Required

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Waabi Innovation Inc. logo
Waabi Innovation Inc.
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About Waabi Innovation Inc.

Waabi Innovation Inc. is a Toronto-based autonomous trucking company that uses generative AI simulation to train self-driving software. Founded in 2021 by former Uber ATG head Raquel Urtasun, it combines deep learning, probabilistic inference, and closed-loop simulation to create scalable, safe systems for long-haul freight without extensive on-road testing. The company operates in the United States and Canada, partnering with carriers and logistics providers to deploy AI-driven trucks that aim to improve safety, efficiency, and sustainability in the supply chain.

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