Lead the development of a web-based application for visualizing data from autonomous vehicles, focusing on performance, architecture, and user experience. Mentor engineers and drive improvement projects.
Summary Generated by Built In
Zoox is developing state of the art autonomous vehicle software for our purpose built vehicle. We believe that developing the end to end product will result in a superior customer experience.
The Robot Data Visualization team is looking for a Staff Software Engineer to join the team behind one of the most critical internal tools at Zoox - a powerful, web-based application used to visualize and analyze data from our autonomous vehicles. Our tool helps engineers dive deep into how the vehicle perceives, plans, and acts in the world, and it's used across nearly every discipline at Zoox. As a Staff Engineer, you’ll lead technical direction, drive performance and scalability improvements, and help shape the future of how we debug and understand autonomous systems.
In this role, you will:
- Lead architectural decisions and implementation of new features in a high-impact, data-heavy web application
- Build rich, real-time visualizations including 3D scenes, maps, video streams, and charts
- Collaborate with autonomy, perception, and systems engineers to deeply understand user workflows and translate them into intuitive tools
- Tackle performance, reliability, and UX challenges at scale
- Mentor engineers and help shape a strong engineering culture focused on excellence and impact
Qualifications
- 8+ years of experience building production-grade software, including large-scale frontend or full-stack systems
- Deep expertise in modern web technologies (TypeScript, WebGL, Three.js or similar)
- Proven track record of leading complex projects and mentoring engineers
- Passion for creating intuitive, performant user experiences for technical users
- BS, MS, or PhD in Computer Science, Engineering, or a related field
Bonus Qualifications
- Experience working with 3D visualization, mapping, robotics, or AV-specific tools like rviz/webviz
- Familiarity with real-time data streaming, video/audio processing, or large-scale data pipelines
- Contributions to open-source developer tools or visualization libraries
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
[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.