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Waabi

Senior / Staff Software Engineer, Infrastructure (Physical & Cloud)

San Francisco, CA Remote Hybrid
USD 141k - 242k
Machine Learning Terraform Docker Bash C++ Ansible AWS Kubernetes Python Go Rust
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Description
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 work closely with the hardware team to collaboratively design and implement vehicle computers and networks. The successful candidate will also actively contribute to our machine learning infrastructure, CI systems, and software delivery. This role includes responsibility in physical infrastructure as well as cloud infrastructure.

You will...
- Work alongside a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
- Collaborate with hardware team on vehicle compute and network designs and implementation.
- 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.
- Work on multiple projects designing, building, deploying tools, systems and infrastructure to support vehicle development.

Qualifications:
- BS, MS/PhD in Computer Science or similar technical field of study or equivalent practical experience.
- 5+ years of relevant industry experience.
- Deep understanding of computer and network hardware and how detailed selection affects performance and reliability.
- Experience with on-premise servers, network equipment and storage systems.
- Experience in Linux and Linux kernel (performance tuning, low level debugging, hardening).
- Experience with configuration management (Ansible preferred) and system administration.
- Experience working with public cloud platforms (AWS preferred).
- Experience with infrastructure as code systems (Terraform preferred).
- 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.
- 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.
- Experience working in an Agile/Scrum environment.
- Able to travel occasionally.

Bonus:
- 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.
- Familiarity with self-driving vehicle sensors and hardware.
- 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).

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.
Waabi
Waabi
Artificial Intelligence (AI) Autonomous Vehicles Machine Learning Transportation

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