Waabi

About Waabi

Leading the way in self-driving technology innovation

🏢 Tech👥 201-500 employees📅 Founded 2021📍 Toronto, Ontario, Canada💰 $272.4m4.2
B2BTravelCarsAugmented RealitySaaS

Key Highlights

  • Raised $272.4 million in Series A funding
  • Partnership with Volvo for autonomous truck development
  • Headquartered in Toronto, Ontario, Canada
  • 201-500 employees focused on AI and autonomy

Waabi, headquartered in Toronto, Ontario, is at the forefront of AI-powered self-driving technology, aiming to bring commercially viable autonomous vehicles to the market. With $272.4 million raised in Series A funding, Waabi partners with Volvo to develop the Volvo VNL Autonomous truck, integrating...

🎁 Benefits

Waabi offers competitive salaries, equity options, flexible remote work policies, and generous PTO to support work-life balance....

🌟 Culture

Waabi fosters a culture of innovation and technical excellence, emphasizing an AI-first approach to tackle the complexities of self-driving technology...

Overview

Waabi is hiring a Technical Lead Manager for their Evaluation & Benchmarking team to develop algorithms and tools for assessing the performance of self-driving systems. You'll work with technologies related to autonomous systems and machine learning. This position requires experience in robotics and large-scale databases.

Job Description

Who you are

You have a strong background in autonomous systems, robotics, and machine learning — your experience includes developing algorithms and tools that assess the performance of complex systems. You are passionate about self-driving technologies and enjoy solving hard problems while creating innovative solutions. Your expertise in large-scale databases and analytics allows you to handle data pipelines and workflow automation effectively.

You thrive in collaborative environments and have a proven track record of leading teams to success. Your ability to communicate complex technical concepts clearly makes you an effective leader and mentor. You are driven by the desire to impact the world positively through technology, and you understand the importance of rigorous evaluation and benchmarking in the development of autonomous vehicles.

Desirable

Experience with evaluation and benchmarking of complex systems and large machine learning models is a plus. Familiarity with generative AI technologies will enhance your contributions to the team. You are always eager to learn and adapt to new challenges in the rapidly evolving field of AI and self-driving technology.

What you'll do

In this role, you will lead the Evaluation & Benchmarking team, responsible for developing the algorithms and tools necessary to thoroughly assess the autonomy system's performance throughout its development stages. You will collaborate closely with systems and safety teams to define requirements and evaluation criteria, ensuring that the evaluation capabilities meet the highest standards for safety and performance.

You will leverage Waabi World, a highly realistic closed-loop simulation engine, to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles. Your leadership will guide the team in creating innovative solutions that push the boundaries of what is possible in self-driving technology.

You will also be involved in mentoring team members, fostering a culture of collaboration and continuous improvement. Your insights will help shape the strategic direction of the Evaluation & Benchmarking team, ensuring that Waabi remains at the forefront of autonomous vehicle technology.

What we offer

Waabi provides a dynamic work environment where innovation is encouraged and supported. You will have the opportunity to work with a world-class team and contribute to groundbreaking technology that has the potential to transform transportation. We offer competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to bring the promise of self-driving closer to commercialization.

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