Senior / Staff Software Engineer, Waabi

Simulation

$141-242k

+ Equity & Bonus. Salary is benchmarked on US rates and may vary by other locations

Python
C++
Rust
Mid and Senior level
Toronto
Waabi

AI powered self-driving technology

Job no longer available

Waabi

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Job no longer available

$141-242k

+ Equity & Bonus. Salary is benchmarked on US rates and may vary by other locations

Python
C++
Rust
Mid and Senior level
Toronto

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

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 headshot

Kirsty

Company Specialist

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

81% employee growth in 12 months

Company

Funding (2 rounds)

Jun 2024

$200m

SERIES B

Jun 2021

$73.7m

SERIES A

Total funding: $273.7m

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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