Join Waabi in optimizing autonomous driving stack performance, collaborating with researchers and engineers to enhance AI-driven technology solutions.
Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.
With offices in Toronto, San Francisco, and Dallas, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
You will...
- Participate in various projects in the autonomous driving stack to reduce overall system runtime.
- Apply different types of optimization skills to reduce key bottleneck function runtime. Deploy solutions to CPU/ GPU devices to meet the latency budget.
- Work with world-class researchers to improve neural network, simulation, autonomy algorithm capabilities.
- Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
Qualifications:
- Educational background: BS or higher degree in EE/ CS or equivalent industry experience.
- Solid programming background in Python and C++.
- Extensive experience with runtime performance improvement projects in the past.
- Ability to rapidly understand new fields.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Have one or more of below points:
- CUDA/ OpenCL/ Shader development background, familiar with GPU architecture.
- Experience with code and data optimization, as well as multi-threaded programming.
- Experience with simulation engine, tools, environment.
- Familiar with CPU/ GPU rendering algorithms. Experience with rendering optimization projects.
The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
Top Skills
C++
Cuda
Opencl
Python
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