Senior / Staff Software Engineer, Waabi

Onboard Platform

$141-242k

+ Equity + Bonus

Linux
C++
C
Rust
Senior level
Remote in Canada, US
San Francisco Bay Area
Toronto
Waabi

AI powered self-driving technology

Be an early applicant

Waabi

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Be an early applicant

$141-242k

+ Equity + Bonus

Linux
C++
C
Rust
Senior level
Remote in Canada, US
San Francisco Bay Area
Toronto

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

Role

Who you are

  • Minimum of 5+ years of professional software development experience
  • Undergrad or Masters in Computer Science, Electrical Engineer, Computer Engineering and/or related technical fields
  • Demonstrated technical leadership experience
  • Strong technical experience with C, C++ or Rust as well as working experience with a scripting language
  • Systems programming, high-level network programming, and system-level optimization experience
  • Experience working with or designing multiple different kinds of software integration frameworks and communication paradigms

Desirable

  • Experience in self-driving, automotive or robotics fields
  • Low-level Linux and networking knowledge
  • Experience with sensor integration such as LiDAR, camera or radar and related concepts such as time synchronization
  • Open-minded and collaborative team player with the willingness to help others
  • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions

What the job involves

  • Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
  • Participate in roadmap planning, system design, development, and testing of our high-level software stack for self-driving trucks
  • Implement and maintain high-level software abstractions used to integrate our autonomy system in real-time on our trucks and in our deterministic simulator
  • Partner with autonomy software development teams to help them integrate new features
  • Identify integration patterns that would benefit from new design patterns or framework abstractions. Integrate sensors and optimize data pre-processing latency
  • Build or integrate performance measurement tools, data recording, and data visualization tools
  • Develop software according to industry-best practices for safe, reliable and robust code

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

$73.9m

SERIES A

Total funding: $273.9m

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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