Waabi founded by AI pioneer and visionary Raquel Urtasun is an AI company building the next generation of selfdriving 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 selfdriving closer to commercialization than ever before. Waabi is backed by bestinclass 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
The Data Platform team is responsible for everything that happens to our data once its taken off the trucks and all the way until its in our end users hands for training visualization or further post processing. We build tools frameworks infrastructure and services used by every team at Waabi in order to interact with the various types of data that we collect and extract. Our data is continuously growing and we aim to provide efficient reliable and a performant system to support the data.
You will...
Be a part of a team of engineers that manages Waabis data lifecycle from vehicle offload through consumption.
Own the tools pipelines services and platform that compose Waabis cloud storage and data management infrastructure.
Build and maintain libraries for performant data access.
Collaborate with other teams at Waabi including research scientists ML and software engineers system engineers and program managers to understand their uses and deliver features that improve our overall data ecosystem.
Track data usage and design retention polices to manage a rapidly and continuously growing amount of data.
Participate in the growth and planning for how our data platform scales over the next years.
Assist in roadmap planning prioritization and delivery.
Qualifications:
5 years of industry experience reading and developing production quality software.
MS/PhD or Bachelors degree with a Computer Science Robotics and/or similar technical field(s) of study.
Experience using languages such as Python Go or Rust.
Experience working in a team environment on a common codebase.
Ability to learn new technologies quickly.
Openminded and collaborative team player with willingness to help others.
Passionate about selfdriving technologies solving hard problems and creating innovative solutions.
Bonus:
Experience working with robotics / AV data.
Experience working with the MCAP format.
Experience with AWS (S3 ECS Batch etc..
Comfortable with Linux.
Comfortable with Docker.
Familiarity with microservice architectures.
Familiarity with workflow management technology (ex. Airflow).
Comfortable working across a wide surface area of systems.
The US yearly salary range for this role is: $155000 $240000 USD in addition to competitive perks & benefits. Waabi (US) Inc.s yearly salary ranges are determined based on several factors in accordance with the Companys 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 fulltime 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 onsite offsite & virtually.
As we grow this list continues to evolve!
Waabi is a technology startup 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.