Zoox
Staff Software Engineer - Robot Link Platform
Zoox, San Mateo, California, United States, 94409
Zoox is reinventing transportation, building a future for Riders, not drivers. We are building an incredible crew - united by our mission, energized by our values and driven by our purpose.
The Robot Link Platform team is looking for a Staff 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 7+ years of relevant experience Experience successfully shipping to production large-scale backend services/ platforms Proficiency in one or more programming languages like Typescript, Go, Java, Javascript 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 Bonus Qualifications
Familiarity with DDS >
Compensation:
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $195,000 to $245,000. A sign-on bonus may be offered as part of the compensation package. 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.
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.
The Robot Link Platform team is looking for a Staff 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 7+ years of relevant experience Experience successfully shipping to production large-scale backend services/ platforms Proficiency in one or more programming languages like Typescript, Go, Java, Javascript 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 Bonus Qualifications
Familiarity with DDS >
Compensation:
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $195,000 to $245,000. A sign-on bonus may be offered as part of the compensation package. 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.
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.