Full Stack Software Engineer, Operational Applications and Platforms

The Operational Tools software team at Zoox is looking for a software engineer to build the tools that support our autonomous ride-sharing service. This team plays a key role in enabling the safe, reliable, and scalable operation of our autonomous fleet, making it a critical part of Zoox's mission to bring autonomous ride-hailing to the world.

As part of a collaborative team with diverse technical expertise, you'll work closely with product managers, designers, QA engineers, and remote operators to develop full-stack applications that support fleet monitoring, in-vehicle visualization, and real-time ride operations. Your work will directly contribute to the day-to-day operation and long-term improvement of our autonomous vehicle platform.

If you enjoy tackling innovative challenges, working across domains, and making a direct impact, this role is for you.

In this role you will:

• Design, build, and maintain full-stack applications that power Zoox's operational tools and autonomous ride-hailing platform
  Develop scalable systems to monitor, support, and optimize a growing fleet of autonomous vehicles
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• Collaborate cross-functionally with product managers, designers, QA engineers, and remote operators to deliver high-impact solutions
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• Build backend systems to foster communication and manage data essential to operational workflows
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• Ensure system reliability and performance through testing, debugging, and continuous improvement of production systems
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Qualifications

• 3+ years of professional experience in software development.
• Strong proficiency in JavaScript/TypeScript and Node.js, or comparable backend technologies.
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• Solid understanding of database systems (relational and/or NoSQL), including data modeling and query optimization.
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• Excellent communication skills, with a proven ability to collaborate effectively across cross-functional teams.
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$150,000 - $190,000 a year

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.