Senior / Staff Infrastructure Engineer

Waabi•Dallas, PA

About The Position

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 As Waabi continues to grow rapidly in 2026, 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 physical computers and networks while being able to work with cloud systems where necessary. 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 physical infrastructure to advance machine learning efforts, CI systems, and software delivery.

Requirements

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 (packaging, performance tuning, low level debugging, hardening).
Experience with configuration management (Ansible preferred) and system administration.
Familiarity with security concepts, access management, and data security.
Experience with containers and container orchestration (i.e., Docker, Kubernetes).
Experience with high performance network design and debugging.
Experience with CI/CD pipelines and release management.
Experience with Python and Bash.
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 to United States.

Nice To Haves

Experience with rugged wireless technologies (ie. LTE/5G modems).
Experience with scale-out storage systems.
Experience working with public cloud platforms (AWS preferred).
Experience with infrastructure as code systems (Terraform preferred).
Experience with automated building of OS images for deployment onto physical computers.
Familiarity with self-driving vehicle sensors and hardware.
Some experience in reading and developing production quality software.
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).

Responsibilities

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 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.
Design and implement high performance physical networks and computing systems.

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!

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