Senior/Staff Software Engineer, Waabi

Development Tools

$155.3-240.8k

+ Equity + incentive awards + annual performance bonus.

Docker

Python

Linux

Terraform

C++

Ansible

Rust

CUDA

Bazel

Git

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada

AI-powered self-driving technology

Job no longer available

AI-powered self-driving technology

201-500 employees

B2BTravelCarsAugmented RealitySaaS

Job no longer available

$155.3-240.8k

+ Equity + incentive awards + annual performance bonus.

Docker

Python

Linux

Terraform

C++

Ansible

Rust

CUDA

Bazel

Git

Senior and Expert level

San Francisco Bay Area

Toronto

Remote from Canada

201-500 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

Job

Company

Role

Who you are

Bachelor’s degree in Computer Science, Computer Engineering or related engineering disciplines
5+ years of industry experience developing production quality software
Experience using at least one compiled and one interpreted programming language and aptitude to debug toolchain and dependency issues for both
Proficiency with software development tools including build system, version control, continuous integration, containers, packaging, profiling, debugging, code review, linting, test automation, and test coverage tools
Experience working with container and cloud infrastructure and managing infrastructure-as-code
Experience promoting best practices for effective software testing and empowering developers to do their best work
Ability to learn new technologies quickly
Empathy for the people who will use the tools you create and maintain
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 with Bazel, Docker, Terraform, Rust, Python, Go, Cuda, C++, Github Actions, Ansible, or similar tools and languages
Experience doing system-level debugging on native Linux and Docker systems
Experience working with robotics or machine learning research teams
Experience working in an Agile/Scrum environment
Experience working with internal cross-functional partners/stakeholders when building software frameworks

What the job involves

Be part of a team of multidisciplinary Engineers and Researchers using an AI-first approach to enable safe self-driving at scale
Build and maintain tools and workflows to empower software developers across the company to work and collaborate efficiently
Work on software build systems, continuous integration systems, and infrastructure to support those systems

Our take

Autonomous vehicle technology is rapidly developing and many sectors are recognizing 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 has a growing partnership with Volvo too, with is a major boost for its future. The two companies have co-developed a new Volvo VNL Autonomous truck that pairs VOlvo's purpose-built autonomy platform with Waabi's end-to-end AI driving system, sensors, and compute. Volvo has also backed Waabi financially through its venture arm, giving Waabi both manufacturing support and long-term investment. Toget, erhjtis puts Waabi in a position to scale and move towards fully driverless trucking quicker.

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 (last 2 of 3 rounds)

Jan 2026

$750m

SERIES C

Jun 2024

$200m

SERIES B

Total funding: $1.0bn

Leadership

Raquel Urtasun

(Founder & 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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