Description
Zoox is building the world's most advanced self-driving hardware and software solution. The strict stability and timing requirements of such a system require a highly optimized and scalable middleware layer, to enable the firmware applications to build their domain functionalities with ease and efficiency. The Embedded Robot Middleware (ERM) team’s mission is to provide reliable, performant, and extensible middleware frameworks for Zoox embedded systems.
As the team leader, you will work with many cross-functional partners to identify the middleware solutions Zoox need and drive a culture of long-term thinking into the organization.
In this role, you will:
- Lead and grow a team of software engineers focusing on providing reliable, performant, and scalable middleware frameworks for Zoox embedded systems.
- Collaborate with the Firmware organization and the rest of the Core team to deliver middleware solutions that enable efficient software development, and meet the needs of software with increasing complexity
- Lead cross-functional efforts to improve the performance and stability of embedded software using a metric-driven approach
- Guide the team on building a forward-looking roadmap to build middleware features, tools, and processes to support the fast-growing Zoox vehicle fleet
- Contribute to organizational-wide efforts to develop software following industry standards and processes
Qualifications
- Bachelor’s or Master’s degree in computer science, electrical / computer engineering, or equivalent experience.
- 9+ years of experience in software development, with 4+ years in a leadership role managing 8+ engineers.
- Good communication and collaboration skills. History of providing technical leadership and enablement support to other teams, helping them to achieve their goals.
- Strong embedded C/C++ programming experience with large code bases and technical dependencies.
- Strong knowledge in real-time operating systems (RTOS) and practical experience with safety-critical software development (ISO-26262, AUTOSAR/MISRA, etc.);
Bonus Qualifications
- Experience taking ideas from inception to delivery.
- Experience with system design & architecture of complex software systems.
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 $211,000 to $349,000. 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.
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.
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