Mechanical Engineer, Waabi

$112-260k

+ Equity + Annual Performance Bonus

Junior, Mid and Senior level
San Francisco Bay Area
Waabi

AI powered self-driving technology

Open for applications

Waabi

AI powered self-driving technology

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Open for applications

$112-260k

+ Equity + Annual Performance Bonus

Junior, Mid and Senior level
San Francisco Bay Area

101-200 employees

B2BTravelCarsAugmented RealitySaaS

Company mission

To bring commercially viable self-driving technology to society.

Role

Who you are

  • Bachelor of Science in Mechanical Engineering or similar fields
  • We're seeking individuals at various stages of their career journey from entry-level professionals to seasoned experts
  • Proficient with Solidworks
  • Experience with technical drawing tolerancing for various manufacturing operations
  • Experience with fundamentals of Finite Element Analysis (FEA)
  • Experience PLM tools and document revision control
  • Test and qualify mechanical designs for use on road vehicles
  • Experience with various designs for manufacturing like sheet metal, injection molding, stamping, etc
  • Technical ownership of hardware development from prototype to production
  • Present mechanical solutions to cross functional teams
  • Autonomous Vehicle and/or automotive industry experience is a plus
  • Surfacing experience 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

  • Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology
  • Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale
  • Be responsible for mechanical design, assembly, test and integration of sensors, compute, modules, and actuation systems
  • Work closely with the software team to define and convert perception, planning, and control requirements into hardware specifications
  • Design for automotive requirements and environmental challenges
  • Support prototype and production module builds
  • Diagnose and drive resolution of technical issues
  • Manage relationships with suppliers and external partners

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

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.

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

$73.2m

SERIES A

Total funding: $273.2m

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

Founders

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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