Senior / Staff Onboard Software Engineer, Waabi

Sensors

$155-249k

The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. The salary listed is applicable to candidates based in the US and may vary for other locations

Linux

Rust

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada, US

AI powered self-driving technology

Be an early applicant

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Be an early applicant

$155-249k

Linux

Rust

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada, US

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

Job

Company

Role

Who you are

5+ years of industry experience working on fielded sensor systems (cameras, lidar, radar, GPS, IMU)Enjoy collaborating with large teams that span many disciplines from engineering to operations
Have a passion for developing efficient, readable and testable code
Expert level C\C++ or Rust (we use Rust) in resource constrained environments
Have, independently, lead engineering effort to solve critical systems problems
Have fielded and debugged Linux systems below the application level
Firm grasp of how time plays a role in coordinated systems
Passionate about self-driving technologies
Some electronics experience - ability to read a schematic and use basic test equipment

What the job involves

Robots need to see the world they live in to make informed decisions. The Onboard Sensors Team brings that sight to our robot trucks. We are currently growing our small group to support integrating, fielding, ruggedizing and productionizing our sensor systems to allow Waabi Driver to navigate roads and freeways - charting a new path forward in how freight is moved
We work with live vehicles everyday, learning how to best shape our sensor platform to fit our vision of the future. Come help us build the most reliable AV platform and have a great time doing it!
You will…
Help shape the Waabi sensors platform as we scale from
Solve challenging integration issues across a number of sensor modalities (LIDAR, RADAR, cameras...)
Deploy and debug software on real vehicles operating in the field daily
Integrate new types of sensors into existing and future onboard platforms
Work closely with multidisciplinary development teams to design and build innovative sensor solutions
Work closely with operations teams to understand live system behavior, resolve issues and form opinions on how we can mature our system going forward

Our take

Autonomous vehicle technology is rapidly developing and many sectors are recognising its value. However, whilst the self-driving industry has made significant advancements there is much more that can be done. There are challenges in this space surrounding scale and developing commercially viable self-driving technology.

Waabi hopes to tackle these challenges and be the leader in self-driving technology with their "AI first approach". The company said that combined with a closed-loop simulator, this approach will allow both common driving scenarios and safety-critical edge cases to be tested at scale - solving one of the key issues in the industry.

Waabi successfully raised one of the largest Series A rounds ever raised in Canada, and has gone on to raise fresh Volvo and Uber-led funding in early 2024. While the company's focus is currently on autonomous long-haul trucking (launching its first generation of trucks in November 2022), the company is well set to lead the next generation of self-driving technology.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

81% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (2 rounds)

Jun 2024

$200m

SERIES B

Jun 2021

$71.8m

SERIES A

Total funding: $271.8m

Company benefits

Equity awards
Medical, Dental and Vision coverage (for full-time employees only)
Unlimited Vacation
Flexible hours and Work from Home support
Regularly scheduled team building activities and social events both on-site, off-site & virtually
Annual performance bonus

Company HQ

Downtown Toronto, Toronto, ON

Leadership

Raquel Urtasun

(CEO)

Previously worked at Uber as Chief Scientist, Head of Uber ATG R&D. Is also a professor at the University of Toronto.

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