Drimva

Waabi

Senior Software Engineer, Evaluation Infrastructure

$127K–$223K

Toronto, ON +2 · Hybrid · Senior · Full-time · Posted Mar 26, 2026

Location
Toronto, ON
San Francisco, CA
Remote US & Canada
Experience
2+ years of industry experience.
Education
MS/Bachelors degree in Computer Science, Machine Learning and/or similar technical field(s) of study.

About the job

Build evaluation algorithms, infrastructure, and tools to analyze autonomous-driving performance across real-world data and simulation.

What you'll do

  • Develop tooling, infrastructure, and pipelines for statistical analysis of driving performance at scale.
  • Implement performance metrics and tags, and maintain a high-availability query service for analysis and data curation.
  • Work with systems, safety, and simulation teams; contribute to planning and deliver high-quality, tested code.

What they ask for

  • Proficiency in Python and strong software engineering fundamentals, including experience writing high-quality, well-structured, well-tested code.
  • Collaborative approach and willingness to help others.
  • Passion for self-driving technologies and solving difficult problems.

Nice to have

  • Experience with data processing or ETL pipelines, distributed computing, or reliable, scalable web services.
  • Experience with cloud job orchestration, monitoring, and instrumentation, or evaluating complex ML models or self-driving software stacks.

Pay

$127,000 - $223,000 USD (base salary)

Tools

Python, Waabi World

AI focus

Evaluate autonomy system and complex ML model performance, using Waabi World, a closed-loop simulator built with generative AI technologies.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)