Zoox is looking for a Senior Fullstack Software Engineer to join our Mobile Apps Engineering team. This position comes with a high degree of independence and the opportunity to shape both our Android and backend architecture as well as product features. Your work will be highly visible, directly shaping the future of Zoox's rider experience. By owning features across our Kotlin Spring Boot backend and Android applications, you will be essential in establishing practices and interfaces that result in a robust, usable, and secure ecosystem: from Rider to Cloud, to Robot.
Responsibilities- Lead the end-to-end engineering design and implementation of major product features spanning our mobile applications and Kotlin Spring Boot backend.
>- Architect and develop scalable, high-performance Android applications while simultaneously contributing to and designing robust backend microservices.
>- Collaborate closely with other engineering teams across Zoox's client, cloud, and vehicle stack to design innovative, end-to-end solutions.
>- Partner with design and product teams to create intuitive, efficient, and seamless rider experiences, ensuring smooth data flow from the server to the user interface.
>- Shape the future of rider experiences in autonomous vehicle ride-hailing, solving real-world challenges through fullstack ownership.
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Qualifications- 7+ years of relevant experience, with a BS / MS in Computer Science or a related field.
>- Deep expertise as a Kotlin Specialist, with strong proficiency in modern Android development (Jetpack Compose, MVVM architecture).
>- Demonstrated experience developing and maintaining backend services, particularly with Spring Boot.
>- Proven ability to architect, develop, and maintain the complete lifecycle of production-grade full-stack application development, including proficiency with both RESTful APIs and streaming technologies such as WebSockets.
>- Experience working cross-functionally with engineering, product, and design teams to drive features from concept to launch.
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Bonus Qualifications- Proven technical leadership in full-stack or mobile development.
>- Experience working with Kotlin Multiplatform (KMP) to share business logic between mobile clients.
>- Effective at leveraging agentic AI development tools to accelerate workflows.
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$215,000 - $255,000 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 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.
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AccommodationsIf 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.
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