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, Dallas, and Pittsburgh, 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:
For your primary sensor modalities (Radar and/or Lidar):
- Select and evaluate sensors for future platforms.
- Collaborate with suppliers to understand roadmaps, emerging technologies, resolve technical issues, and source sensors.
- Manage all aspects of sensor integration and configuration.
- Characterize and evaluate sensor performance, developing strategies for improving accuracy, reliability, and durability.
- Ensure successful integration of sensors within the autonomous vehicle system through cross-organizational collaboration.
- Build test assets for sensor evaluation, characterization, and validation.
- Conduct field testing, data collection, and data analysis, documenting and reporting results.
Across the sensors team:
- Provide support for other sensor modalities and engineers as needed.
- Collaborate on shared team tooling, infrastructure, and test assets.
Qualifications:
- Bachelor or Master in Optical Engineering, Electrical Engineering, Physics, Mechatronics, Computer Science, or a related field.
- Minimum of 4 years of related hands-on experience with Lidar and/or Radar, preferably in autonomous vehicles or robotics. - - Experience with Cameras, GNSS, and/or IMU is a plus.
- Strong practical experience with automotive sensors.
- Proficiency in sensor data acquisition, processing, and analysis techniques.
- Experience with signal processing, statistics, and machine learning algorithms.
- Proficiency in Python for data analysis and visualization.
- Strong problem-solving skills and meticulous attention to detail.
- Excellent written and verbal communication skills.
- Ability to work independently and collaboratively in a fast-paced, dynamic environment.
- Open-minded and collaborative team player with a willingness to assist others.
- Passionate about self-driving technologies, tackling complex problems, and creating innovative solutions.
Location:
- San Francisco, CA
- Flexible, but job duties require hands-on work with Sensors in the SF office.
- Estimated minimum in-office time is 60%.
The US yearly salary range for this role is: $155,000 - $210,000 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.
\n
\n
Perks/Benefits:
- Competitive compensation and equity awards
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage
- 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.
