Jobs at Waabi

Drive systems engineering lifecycle for sensing and localization in autonomous vehicles, ensuring robust solutions and leading integration across teams.

The Vehicle Reliability Engineer will diagnose issues, implement workarounds, collaborate on root cause analysis, and improve vehicle reliability through methodologies like Lean and Six Sigma.

Lead the development and improvement of the training curriculum, manage new-hire onboarding, oversee training compliance, mentor the training team, and collaborate cross-functionally to integrate technology into training.

As a Software Engineer, you'll design and optimize algorithms for real-time sensor data processing, collaborating with a talented team on high-performance solutions for autonomous driving.

As a Research Engineer in Sensor Signal Processing, you will design and implement signal processing techniques for autonomous driving, working with various sensor data and optimizing algorithms for high performance.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Intern will be part of a team developing AI algorithms for Autonomous Vehicles, contributing to research projects and publications.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

As a Research Scientist in Neural Reconstruction, you will develop algorithms for 3D/4D scene reconstruction using real-world sensor data, collaborate on large-scale simulation systems, publish research and mentor junior scientists.

Develop algorithms for World Models focusing on large-scale modeling for dynamic 4D environments. Conduct research in generative and predictive modeling, collaborate with engineers, and mentor junior scientists.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

The Research Scientist will develop and enhance simulation agents using advanced machine learning techniques, mentor junior team members, and publish research findings.

Contribute to the development of Waabi World, improve simulation scalability, and design orchestration software for autonomous vehicle simulations.

Lead the development and verification of behavioral requirements for autonomous vehicle systems, collaborating across teams to enhance safety and evaluation capabilities.

Develop real-time graphics software for multi-sensor simulation in autonomous driving. Collaborate with experts to enhance rendering technology and improve simulation realism.

Lead Waabi's Hardware Verification and Validation team, executing tests, ensuring compliance, and collaborating cross-functionally to enhance hardware capabilities for autonomous vehicles.

The Applied Data Scientist will analyze performance data of Waabi's autonomy systems, develop automated dashboards, and collaborate across teams to drive insights for performance improvements.

The role involves designing frameworks for autonomy evaluation, implementing performance measurement methodologies, and developing analytical models for self-driving technologies. The applied scientist will collaborate with cross-functional teams, prototype analyses, and ensure rigorous evaluation standards are met.

Lead the financial close process, manage consolidations, ensure accurate US GAAP reporting, automate accounting tasks with AI, and support audits.

The role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.