Posted 19 months ago
Senior / Staff ML Onboard Optimization Engineer
@ Waabi
Toronto, Ontario
Overview
Waabi is hiring a Senior or Staff ML Onboard Optimization Engineer to make its self-driving models run efficiently on the next generation of onboard truck compute. The work covers deploying models to new GPUs and embedded systems, optimizing inference with TensorRT and modelopt, writing CUDA kernels and profiling runtime and memory. Requires 6+ years of industry experience, with flexible hours and work-from-home support offered; the US salary range is $184,000 to $272,000 USD.
Responsibilities:
- Optimize self-driving models for onboard truck compute
- Deploy models to new GPUs and embedded systems
- Use TensorRT and modelopt to optimize inference
- Create and benchmark CUDA kernels
- Profile model runtime and memory to find bottlenecks
Requirements summary:
- MS, PhD or Bachelor's in CS, Robotics or similar
- 6+ years of industry experience
- Proficiency in Python, C++ or Rust
- Experience with PyTorch
- Skilled in profiling with PyTorch Profiler and NVIDIA Nsight
- Experience with NVIDIA Jetson or Thor
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · lever
- Employer posting date
- 2025-04-24
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-11-02
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 | 6+ 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), Master’s degree (preferred), Doctorate (preferred) |
| 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...
- Collaborate closely with autonomy and algorithm engineers to scale safe self-driving systems using an AI-first approach.
- Expand the model deployment pipeline to new GPUs and embedded systems for the next generation of our onboard compute system.
- Use frameworks such as TensorRT and modelopt to optimize the models running on the truck.
- Create and benchmark new CUDA kernels for inference.
- Comprehensively profile model runtime and memory to pinpoint performance bottlenecks.
Qualifications:
- MS/PhD or Bachelors degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
- Solid coding proficiency in a variety of coding languages including Python, C++ or Rust.
- Experience in deep learning frameworks such as PyTorch.
- Skilled in profiling CPU and GPU code using tools such as PyTorch Profiler and NVIDIA Nsight.
- Experience with Nvidia embedded platforms such as Nvidia Jetson or Thor.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus/nice to have:
- Experience in model compilation and exporting, interaction with lower level concepts like TensorRT.
- Experience in identifying when custom CUDA kernels are needed, and implementing them.
- Experience in Bazel build systems, and integrating third party packages into dev environments.
The US yearly salary range for this role is: $184,000 - $272,000 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:
Waabi provides a competitive benefits package that includes:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage.
- 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.
- World-class facility that includes a gym, games room (ping pong table, video game consoles, board games, etc), multiple collaborative working spaces and a gorgeous patio!(when in office)
- As we grow, this list continues to evolve!
Waabi is an equal opportunity employer that celebrates diversity and is committed to creating a supportive, inclusive, and accessible environment for all employees. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
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