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Software Engineer, Labelling, Data & Automation

Waabi· Software – Software Engineering
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Hybrid (Multiple)$127k - $225kFull-timePosted 6mo ago

About the role

Software Engineer on the Labelling and Data Automation team responsible for building pipelines, tools, and workflows to accelerate Waabi’s AI-first self-driving technology, focusing on data extraction, labeling, and providing labeled data to ML teams.

Responsibilities

  • Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
  • Own the process, criteria, and tooling for efficiently finding interesting and relevant data across the petabytes of real world data that Waabi has collected
  • Build high reliability systems for extracting and labelling the interesting data with various vendors and integrate it back into our system
  • Work with both internal and third party stakeholders to define taxonomy, validation rules and success criteria for our labelling projects
  • Design and manage the end-to-end deployment of data solutions to deliver high quality labelled data for various ML teams to use in experiments and model improvement
  • Deploy open-set / embedding models to our production environment - empowering new search and curation modalities
  • Champion engineering excellence, ensuring high-quality, well structured, and tested code.
  • Contribute to project roadmap planning, prioritization, and delivery.

Qualifications

  • 4+ years of industry experience.
  • Bachelor's in computer science, engineering, machine learning, or a related technical discipline.
  • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
  • A willingness and ability to learn new skills, technologies, and software libraries as required.
  • Strong experience with data pipelines for large-scale processing and analysis.
  • Strong communication and organizational skills
  • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
  • Open-minded and collaborative team player with the willingness to help others.
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Skills

Required:PythonData pipelinesCloud orchestrationCommunicationTeam collaborationSelf-driving technology interest

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
Company profileWebsite

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