Software Engineer - Road Network Tools (San Mateo)

Foster City, CASoftware – Autonomy Software /Full-time /HybridZoox's Road Network team is responsible for developing the software, tools, and processes needed to build and manage our high-definition road network. The ZRN Tooling team is responsible for the suite of applications Cartographers use daily to create, analyze, and validate the foundational road network maps used by the autonomy stack.As a member of the ZRN Tooling team, you will build software and systems that enable our Cartography team. You’ll be working on the software that directly enables our ability to drive safely on our roads. This includes our flagship 3D Map Editor, automated triaging and planning tools, and all the automation required to validate and deliver the map. The ZRN map underpins many systems at Zoox, so you’ll also work closely with teams to create new APIs and ensure our users are supported as they build map-driven systems.In this role, you will:You will design, develop, and test features for our road network applications, such as the Map Editor, Triage tools, and validation pipelineYou will build out the content pipeline and automation that enables Cartographers to produce ZRN data accurately and quicklyYou will create software requirements, design documentation, test plans, and other supporting documentationYou will contribute to all phases of the software development cycle including prototyping, requirements capture, design, implementation, and validationQualificationsAt least 5 years of industry experienceFluency with Python or C++Experience with OpenGL, WebGL, and graphics programmingExperience with Fast API, Postgres, REST web services, and operational supportExperience with AWS, cloud-based service providers, and service monitoringBonus QualificationsExperience with React, Javascript, and web application developmentExperience with mapping systems, GIS, spatial algorithms, routing, or graph theoryExperience with Rust$172,000 - $230,000 a yearBase Salary RangeThere 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 ZooxZoox 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.Follow us on LinkedInAccommodationsIf you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.