Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. Zoox’s System Design and Mission Assurance (SDMA) team is responsible for constructing the safety case for each milestone. We play a foundational role in the success of the company.
As a Systems Engineer at Zoox, you will be working with members of the System Safety, Hardware, and Software Development Teams to design, develop, and deploy systems that enable and support autonomous driving. You are responsible for ensuring these systems are developed within a process that results in end-to-end traceability and achievement of both system safety targets and product requirements.
In this role, you will:
- Develop quantitative and qualitative functional safety analyses including HARAs, FTAs, FMEAs, and/or FMEDAs
- Develop functional safety and technical safety concepts for vehicle motion control systems
- Collaborate with internal hardware/software engineers and/or 3rd party suppliers to ensure system requirements and desired functionality are achieved
- Assist other teams with the implementation of systems engineering processes, which can also include cross-functional reviews of requirements and test cases
- Support development of test plans, test cases, black box integration testing, and issue resolution.
Qualifications
- M.S. or higher degree in Automotive Engineering, Aerospace, Robotics, Computer Science, Electrical, Mechanical, or Systems Engineering
- Minimum of seven years of total engineering experience with at least five years in the fields of System Safety or Functional Safety and Systems Engineering
- Experience with hazard analysis, functional decomposition and developing safety requirements in line with ISO26262 recommendations
- Experience developing system architecture diagrams and safety concepts dealing with complex system interactions
- Collaborative team player with strong written and in-person communication skills
Bonus Qualifications
- ISO 26262 Certification
- Experience with a requirements management tool (ex: Polarion)
- You have worked on at least one project across its full development cycle
- Analytical skills and experience with a scripting or programming language such as Python
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 $176,000 to $290,000. 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
[email protected] 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.
