Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities. As Zoox launches our technology on public roads, we are seeking an experienced systems engineer who can bring the system engineering and fail-operational disciplines to Zoox’s unique autonomous robotaxi services, ensuring safe and continuous operations of Zoox technology. The role will focus on fail-operational performance of the robotaxi system including off-vehicle connectivity equipment and software, as well as remote operator workflows.
Base Salary Range
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. 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.
In this role, you will:
Performance Metrics: Define, develop, and evolve fail-operational metrics to assess robotaxi journey completion, support services, and the readiness of the network and operational systems
Proactive hazard analysis: Lead and perform hazard analysis to identify potential causes of service disruptions in the operations of robotaxi before they manifest in the field. Identify requirements and suggest risk mitigation strategies.
Risk Mitigation: Lead initiatives to develop prevention and mitigation strategies for service disruptions, collaborating with cross-functional teams (engineering, operations, legal, safety policy, manufacturing) on hardware, software, operational, and process improvements
System Analysis & Verification: Conduct in-depth system analysis to create comprehensive verification and validation strategies for network and cloud software performance
Cross-functional Alignment: Serve as the primary contact for collaborations with various stakeholders (e.g., Product/Cloud software, Firmware, Vehicle Engineering) and other SDMA subteams (e.g. functional safety, autonomy validation)
Reporting: Author validation clearance reports to support milestone approvals
Qualifications
Bachelors degree in a relevant engineering field with 7-9 years of experience, including 3+ years in complex engineering system operations
Strong background in Systems Engineering
Experience in remote operations, cloud platforms, data transmission, wireless communications, network protocols and architecture
Proficiency in data analysis, performance tracking, quantitative risk assessment, and issue mitigation in real-world remote operations
Proven ability to lead complex cross-functional projects with high EQ and a collaborative, empathetic approach
Bonus Qualifications
8+ years senior leadership experience with complex network systems or remote field operations in safety relevant domains
Fail operational or fault management experience in the automotive industry, the autonomous driving technology industry, or commercial airline industry
Solid understanding of software and network architecture principles and design patterns, and proficiency in either Linux, C++, Python or Java
Experience with Cloud computing (AWS, Azure, GCP) and with Telecom Carrier networks (LTE and 5G) and standards (3GPP), or network fundamentals and standards (gRPC, DDS,RestfulAPI)
Experience in developing operational tools/features and human factors studiesFamiliarity with industry safety standards such as MIL-STD-882, ISO 26262, ISO 21448, etc.
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.
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.
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