Software Engineer at Waabi

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem. With offices in Toronto, San Francisco, and Dallas, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

Responsibilities

• Design and implement tools, pipelines, and metrics to accelerate the development of our AI-first autonomy system and generative AI simulator.
• Drive the end-to-end process of building high-quality training datasets, spanning data curation, labelling, training, evaluation, and visualization.
• Coordinate with multiple teams and deliver tailored, efficient data solutions for model development.
• Champion engineering excellence, ensuring high-quality, well structured, and tested code.
• Assist in project roadmap planning, prioritization, and delivery.

Qualifications

• 2+ 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.

Bonus Points

• Experience with ML pipelines, including dataset curation, labelling, training and evaluation.
• Previous experience in self-driving technology or related fields.
• Familiar with linear algebra (projections, transforms) and 3D geometry.
• Experience with MapReduce frameworks (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow/Apache Beam/Google Dataflow/AWS Step Functions).