Senior/Staff Software Engineer, Waabi

Simulation Platform

$141-242k

Salary for CAD candidates may differ. + Equity + Annual Performance Bonus

Python

C++

Rust

Mid and Senior level

San Francisco Bay Area

Toronto

Remote from Canada, US

AI powered self-driving technology

Job no longer available

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Job no longer available

$141-242k

Salary for CAD candidates may differ. + Equity + Annual Performance Bonus

Python

C++

Rust

Mid and Senior 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

MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study
Experience with a variety of backend technologies and languages. Examples: Python, C++, Rust
Some experience in reading and developing production quality software, versus only creating prototypes/proof of concepts
Understanding of test-driven and API-driven development methodologies
Experience designing interfaces between systems
Experience with system design/architecture, algorithms, data structure design, and low level threading
Experience working with internal cross-functional partners/stakeholders when building software frameworks
Experience with software performance, optimization, and profiling
Experience with concurrency and determinism
Open-minded and collaborative team player with willingness to help others
Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

Desirable

Experience working in parallel computing environments and in emulation at scale
Experience building software systems from scratch
Experience in robotics or machine learning
Experience in automated testing
Experience working in an Agile/Scrum environment

What the job involves

Build reliable and scalable simulation tools and frameworks to support Autonomous Vehicle (AV) development
Develop tools to massively scale scenario generation
Build orchestration and control software
Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers
Advocate and set patterns for software development

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

$73.1m

SERIES A

Total funding: $273.1m

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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