Software Engineer - Robot Link Platform

The Robot Link Platform team is looking for a Software Engineer to design and build cloud backend services. The team is critical in enabling successful driverless robotaxis service, operating at the intersection of Robot software and cloud services/front-end tools for fleet management, telemetry and rider support. Team members have diverse skill sets, high cross-functional interaction, and are uniquely positioned to interface with all aspects of Robot and service enablement.

As an engineer on this team, you will help design and build the microservices that ensure reliable, mission-critical communication as well as offer optimal abstraction between our robot and all the services for operation. You will architect platform solutions that support integration with various cloud services as well as front-end tools.

This is a rare opportunity that will require both your product sense and low-level systems thinking using complex network topologies and protocols.

In this role, you will:

Develop and deploy scalable backend services that are reliable and fault tolerant

Write clear, testable, modular and maintainable code. Triage and troubleshoot issues spanning various cloud services, robot, transport protocols.

Define and implement key metrics to measure/monitor performance and reliability

Contribute to long term architecture, technology initiatives and technical roadmap

Work cross functionally with diverse engineering teams, Product and Program Management for successful delivery of solutions

Qualifications

BS / MS in Computer Science or similar degree and/or 4+ years of relevant experience

Proficiency in one or more programming languages like Typescript, Java, Python

Strong knowledge of REST, API design patterns, database technologies, caching mechanisms, performance optimizing techniques

Familiarity with webserver technologies like Node.js, Nginx, Apache etc.

Excellent problem-solving and debugging skills

Familiarity with networking

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 accommodations@zoox.com 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.