Senior / Staff Software Engineer, Data Platform

Position Overview

• Location Type: Hybrid (Toronto, San Francisco, Dallas)
• Job Type: Full-time
• Salary: US yearly salary range: (Details not provided in the description)
• Company: Waabi

Waabi is an AI company building the next generation of self-driving technology. With a world-class team and an innovative approach, Waabi is bringing the promise of self-driving closer to commercialization. Backed by best-in-class investors, Waabi is growing quickly and looking for diverse, innovative, and collaborative candidates. Learn more at www.waabi.ai.

About the Data Platform Team

The Data Platform team is responsible for managing Waabi’s data lifecycle – from vehicle offload through consumption. We build tools, frameworks, infrastructure, and services used by every team at Waabi to interact with the various types of data we collect and extract. Our data is continuously growing, and we aim to provide an efficient, reliable, and performant system to support it.

Responsibilities

• Manage Waabi’s data lifecycle from vehicle offload through consumption.
• Own the tools, pipelines, services, and platform composing Waabi’s cloud storage and data management infrastructure.
• Build and maintain libraries for performant data access.
• Collaborate with research scientists, ML engineers, software engineers, system engineers, and program managers to understand their data needs and deliver features that improve the overall data ecosystem.
• Track data usage and design retention policies to manage a rapidly growing amount of data.
• Participate in the growth and planning for how the data platform scales over the next years.
• Assist in roadmap planning, prioritization, and delivery.

Requirements

• 5+ years of industry experience reading and developing production quality software.
• MS/PhD or Bachelor’s degree in Computer Science, Robotics, or a related technical field.
• 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.
• Open-minded and collaborative team player with a willingness to help others.
• Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus Qualifications

• 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 (e.g., Airflow).
• Comfortable working across a wide surface area of systems.