Senior / Staff Embedded Systems Software Engineer, Waabi
$141-242k
Additional compensation for employees in this role include equity incentive awards and an annual performance bonus
AI powered self-driving technology
Open for applications
AI powered self-driving technology
101-200 employees
Open for applications
$141-242k
Additional compensation for employees in this role include equity incentive awards and an annual performance bonus
101-200 employees
Company mission
To bring commercially viable self-driving technology to society.
Role
Who you are
- Minimum of 5+ years of automotive, robotics, aerospace or related industry 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 and C++; Rust experience is nice to have
- Experience working with low-level microprocessor and microcontroller systems with real-time operating systems
- Experience working on safety-critical software projects following the relevant industry safety standard
Desirable
- Experience with automotive interfaces (CAN, Automotive ethernet), low-level interfaces (SPI, UART), and high-speed mixed signal interfaces (PCIe) is a plus
- Experience with vehicle actuation or sensors such as GNSS IMU or Radar is a plus
- Understanding of time synchronization and network fundamentals is a plus
- 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
- The Onboard Software Platform team owns our high-level software integration framework, data logging, performance measurement tools, system-level optimization, and sensor integration
- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
- Implement low-level software for truck control functions such as engine control, steering and braking
- Integrate sensors and vehicle actuation feedback with our localization and control systems in order to implement redundant safety features
- Develop software according to industry-best practices for safe, reliable and robust code
- Collaborate with our hardware, safety and systems teams on design, build and validation of highly reliable systems
- Collaborate with other software and autonomy engineers on implementing low-level functions from high-level systems
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
Insights
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
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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