Job description

Zoox is seeking an experienced Software Engineering Manager to lead the Service Platform team within our Ride and Fleet organization. This team plays a critical role in enabling the reliable and scalable operation of our autonomous ride-hailing service by building and maintaining the foundational infrastructure, platforms, and systems. In this role, you will lead a team of software engineers focused on system reliability, performance, scalability, observability, infrastructure, security, and release processes. You will work in a highly collaborative, cross-functional environment, partnering closely with engineering teams to build robust, secure, and high-performing services that support the continued growth and operational needs of Zoox's driverless robotaxi fleet. In this role, you will: Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement Provide technical guidance, establish and monitor key performance indicators to measure the effectiveness of optimization strategies and drive continuous improvement Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed Work with partner teams to deliver tested high quality solution that meets the requirements of client services, as well as ensure smooth integration, deployment Qualifications BS / MS in Computer Science or similar degree and/or 10+ years of relevant experience 5+ years Management experience including personnel management, hiring, budget Experience successfully shipping large-scale backend services/platforms to production Leading & delivering in fast paced and agile environment, in a highly cross organizational setup Proficiency in one or more programming languages like Kotlin or Java Bonus Qualifications Experience working Dispatch systems, Routes, Maps Experience in Ride Hail / AV Industry 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. Follow us on LinkedIn 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.

Requirements

Must-haves

Manage, mentor, and grow a team of individual contributors, fostering a culture of innovation and continuous improvement
Provide technical guidance, establish and monitor key performance indicators to measure the effectiveness of optimization strategies and drive continuous improvement
Manage the allocation of resources within the team, ensuring that projects are staffed appropriately and that team members have the necessary tools and support to succeed
Work with partner teams to deliver tested high quality solution that meets the requirements of client services, as well as ensure smooth integration, deployment
BS / MS in Computer Science or similar degree and/or 10+ years of relevant experience
5+ years Management experience including personnel management, hiring, budget
Experience successfully shipping large-scale backend services/platforms to production
Leading & delivering in fast paced and agile environment, in a highly cross organizational setup
Proficiency in one or more programming languages like Kotlin or Java
Experience working Dispatch systems, Routes, Maps
Experience in Ride Hail / AV Industry

Nice-to-haves

Bonus Qualifications

Application prep

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Keywords to mirror

agilekotlinjavamachine learning

Platform: lever
Effort: quick