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Selected role

Staff Software Engineer - Cloud Embedded Systems Configuration

Zoox Foster City, CA

$219k - $263k Senior Full-time

Zoox’s Robot Software Infrastructure team is looking for a Staff Software Engineer to help build the core platform services that powers the configuration and runtime settings system across our autonomous vehicle fleet.

Our team develops full-stack systems that manage startup behavior, runtime settings, and software/hardware configuration across vehicles and cities—ensuring safe, consistent operation at scale.

Example Challenges

How should a vehicle determine what to do when it wakes up?

How can a fleet coordinate updates across time zones for 24/7 service?

How do we detect and recover from misconfigurations in runtime?

If you're excited to work on foundational systems that keep a robotaxi fleet running smoothly in the real world, we’d love to talk.

In this role, you will:

Design and build robust embedded applications and web microservices for the configuration and runtime settings system
Develop startup-time and runtime auditing/control of software and hardware settings
Own service architecture that connects vehicle and cloud for dynamic configuration
Drive technical direction and lead large-scale, cross-team projects with independence and critical thinking
Collaborate and communicate effectively across cross-functional teams, including vehicle software, tools, and operations, to drive successful project outcomes

Qualifications

8+ years of combined experience in device/edge software, cloud systems architecture and development
Deep experience designing, building, and operating cloud-based microservices and cloud infrastructure (Kubernetes, Docker, etc.)
Proficient in Python, Kotlin or Java, and REST APIs, with familiarity in C++, and proven experience building data pipelines and APIs between cloud and edge devices.
Strong systems thinking and ability to understand complex, cross-cutting architectures
Proven track record of steering large-scale projects from initial concept through to successful deployment.

Bonus Qualifications

Experience in robotics, autonomy, or large-scale distributed systems
Familiarity with vehicle environments, maps, GPS, and OTA updates

$219,000 - $263,000 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.

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 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.

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