Senior Software Engineer - Road Network Tools

Zoox's Road Network team is responsible for developing the tools and infrastructure necessary to build, curate, and manage our high definition road network. The ZRN Tools team manages most of the applications in the road network content pipeline. These tools help Engineers and Cartographers create, analyze, and validate the semantic road network content that is critical to vehicle operations.

As a member of the ZRN Tooling team, you will build software and systems that enable our Cartography team. From 3D map editors to enterprise map health monitors, you’ll be working on the software that directly enables our ability to drive safely on our roads. You will also work closely with teams across Zoox, creating new APIs and ensuring our users are supported as they build map-driven systems. You will also be responsible for building content validators, post-process tools, and other tools to aid Cartographers in their work.

In this role, you will:

• You will design, develop, and test features for our road network applications such as the Editor, Map Health monitor, and map validation pipeline
• You will build out the content pipeline and automation that enables Cartographers to produce ZRN data accurately and quickly
• You will create software requirements, design documentation, test plans, and other supporting documentation
• You will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validation

Qualifications

• Bachelor's degree in computer science (or related field) or equivalent practical experience
• At least 5 years of industry experience
• Fluency with Python or C++
• Experience with OpenGL or WebGL and graphics programming
• Experience with AWS and cloud based service providers
• Experience with Fast API and development of REST web services

Bonus Qualifications

• Experience with React, Javascript, and web application development
• Experience with Qt or equivalent UI framework
• Experience with mapping, GIS systems, geometry, routing, or graph theory
• Experience with data/content pipelines (ETL, etc.)

Base Salary Range

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position.

Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

About Zoox

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.

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Accommodations

If you need an accommodation to participate in the application or interview process please reach out to View email address on ev.careers or your assigned recruiter.

A Final Note:

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.