This is an opportunity to join the Software Systems Engineering team to participate in building the Zoox robotaxi, the first in the world that has operated on public roads. The Software Systems Engineering team is responsible for defining SW development processes and ensuring that all safety-critical software meets a high safety bar for production vehicles.
In this role, you will collaborate with the software and safety team to ensure the developed software meets the targeted integrity level. The focus of this role will be on software architecture and systems engineering activities of Robot's AI software applications, middleware and driver components.
In this role, you will Form and lead a cross functional SW architecture committee Set up process/templates to enforce industry standards and best practices for developing and maintaining SW components using Linux/C/C++/GPU/AI ApplicationsEvaluate the existing SW architecture and providing guidance/suggestions to improve safety, reliability and performanceSet up a Change Control Board and develop relevant change management process/templates for handling the architecture level changes across different systems/subsystemsWork with cross functional teams to review/approve/reject architecture level changesIntroduce SW Architecture best practices such as modularity, flexibility and scalability and ensuring their effective implementation into Zoox's workflows Qualifications 12+ years of industry experience in architecting/developing scalable/distributed/complex applications using C/C++ in Linux EnvironmentExposure to different communication protocols and standards, open source communication frameworksExposure in developing software using different processor architectures like X86, ARM, Other microcontrollersExposure to GPU/Accelerated computing environments. Exposure to high performance, distributed and resource constrained SW systems developmentFamiliar and Hands on experience in using industry best practices in the area of change management and configuration management Bonus Qualifications Exposure to various operating systems including Real Time Operating Systems and architecturesHands on experience with industry standard tools (Ex:MagicDraw, Enterprise architect, etc) for SW Systems EngineeringExposure to SW System Engineering best practices and standards (Ex: ASPICE, DO-178B/C, ISO 26262)Exposures to software development processes for Safety Critical ApplicationsExposure to Autonomous vehicle development
There are three major components to compensation for this position: pay, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The pay range for this position is $204,000 to $294,000. 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 pay 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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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.