Posted 7 months ago
Senior Software Engineer, Auto Labelling
@ Waabi
Toronto, Ontario
Overview
Waabi is hiring a Senior Software Engineer for its auto-labelling team, building offline perception and auto-labelling systems for autonomous trucks and robotaxis. The role orchestrates large-scale training, evaluation and automation pipelines and deploys new ML architectures to production. The salary range is $170,000 to $220,000 USD per year, plus equity and an annual bonus.
Responsibilities:
- Orchestrate large-scale auto-labelling training, evaluation and automation
- Architect and scale pipelines with distributed computing frameworks
- Collaborate with ML researchers to deploy new architectures to production
- Build offline perception and auto-labelling systems using computer vision and machine learning
Requirements summary:
- Bachelor's degree in computer science, robotics or related field
- 3+ years developing ML systems or ML software stack
- Experience productionizing deep learning models, especially large-scale online inference
- Proficient in Python and production-grade code
- Open-minded, collaborative team player
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2026-03-30
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-15
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 3+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required) |
| Fields of study | Computer Science, Robotics |
| Perks mentioned | Generous paid time off, Flexible hours, Performance bonus, Stock or equity, Wellness, Free or discounted meals |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Waabi
Funding & investors
Reported funding round: Series C
Investor named in the round: Khosla Ventures, G2 Venture Partners, Uber, NVentures, Volvo Group Venture Capital, Porsche Automobil Holding SE, Radical Ventures, HarbourVest Partners, Linse Capital, Incharge Capital, Export Development Canada, TELUS Global Ventures, BMO Global Asset Management
Announcement date: · Source checked: 2026-11-02
Company announcementSaved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Built to think. Born to haul.
Full company description
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
- LinkedIn followers
- 28,690
- People associated on LinkedIn
- 291
- Reported office locations
- N/A, Toronto, CA
- San Francisco, California, US
- Business categories
- Artificial Intelligence
- Transportation
- Automotive
- Artificial Intelligence (AI)
- Machine Learning
- Autonomous Vehicles
- Other recorded names
- Waabi
- Profile identifies a recruitment agency
- No
- Reported total investment
- 1,033,036,757
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Waabi is pioneering Physical AI – starting with autonomous trucks. Press: [email protected] Business: [email protected]
| Field | Value |
|---|---|
| Industry | Truck Transportation |
| Company size | 51-200 employees |
| Headquarters | Toronto |
| Organization type | Privately Held |
| Year founded | 2021 |
| Open jobs on Jobsy | 56 |
| View page |
Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, 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
You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.
- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.
- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.
- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.
Qualifications:
- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.
- 3+ years of experience developing solutions in ML systems or the ML software stack.
- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.
- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.
- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.
- Open-minded and collaborative team player with the willingness to help others.
Bonus/nice to have:
- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.
- Experience working with large Vision-Language Models (VLMs)
The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/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.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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