Senior / Staff Software Engineer, Waabi
Sensor Simulation
$158-269k
+ Equity + Bonus
AI powered self-driving technology
Be an early applicant
AI powered self-driving technology
101-200 employees
Be an early applicant
$158-269k
+ Equity + Bonus
101-200 employees
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 and graphics
- 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 with game development or building simulators
- Experience in autonomous systems, robotics or machine learning
- Experience working in parallel computing environments and in emulation at scale
- Experience building software systems from scratch
- Experience working in an Agile/Scrum environment
What the job involves
- As a Software Engineer in Sensor Simulation, you will create the next generation of sensor simulation software for autonomous driving
- You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable rendering and content creation solutions for self-driving
- We value original, high-impact ideas and rigorous experimental validation
- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge and high-fidelity data-driven multi-sensor simulation stack leveraging graphics, computer vision, and ML
- Design and implement software for sensor simulation powered by generative AI with scale and performance top of mind, increasing throughput for dataset generation and scaling interactive closed-loop scenarios with the Waabi Driver
- 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
Company
Funding (2 rounds)
Jun 2024
$200m
SERIES B
Jun 2021
$69.5m
SERIES A
Total funding: $269.5m
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
Articles
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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