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
As Waabi continues to grow rapidly in 2024, the Infrastructure team will be challenging ourselves to improve our ML infrastructure both in scale and efficiency while ensuring additional systems supporting the company’s engineering and research efforts are running top notch. We’re looking for a candidate who has extensive experience in designing, implementing and troubleshooting cloud systems but is also well balanced with physical equipment knowledge.
The ideal candidate would actively improve our machine learning infrastructure, CI systems, and software delivery. While this role will be primarily focused on cloud systems, the candidate should also be well versed in physical computing and networking with hands on experience to effectively diagnose performance issues in cloud as well as assist with vehicle and on-prem computing needs.
You will...- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale- Manage machine learning infrastructure, model pipelines, training platforms, data infrastructure and ML tools- Work on multiple projects designing, building, deploying tools, systems and infrastructure- Collaborate with hardware team on vehicle compute and network designs- Work with software and hardware teams on OS and software delivery into vehicles- Assist with vehicle compute and network performance tuning and general diagnostics as needed- Work with software and hardware teams to implement and maintain high volume data pipelines
Qualifications:- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience- 5+ years of industry experience- Experience working with public cloud platforms (AWS preferred)- Experience with infrastructure as code systems (Terraform preferred)- Experience with configuration management (Ansible preferred) and system administration- Familiarity with cloud security concepts, credential management, IAM systems, and data security- Experience with containers and container orchestration (i.e., Docker, ECS, Kubernetes)- Experience with CI/CD pipelines and release management- Experience with on-premise servers, network equipment and storage systems- Experience in Linux kernel (performance tuning, low level debugging, hardening)- Some experience in reading and developing production quality software- Open-minded and collaborative team player with the willingness to help others- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions- Able to travel occasionally to United States
Bonus:- Experience with Python and Bash- Familiarity with GO, Rust or C++ ecosystems- Experience with building platform services that enable other teams to do their best work- Experience in common ML tools, workflows and frameworks (i.e. systems like Kubeflow or MLFlow)- Experience with automated building of OS images for deployment onto physical computers- Experience with high performance network design and debugging- Experience with scale-out storage systems- Experience working in an Agile/Scrum environment- Familiarity with self-driving vehicle sensors and hardware
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.