Zoox · 7 hours ago
Design Reliability Engineer – Sensor, Compute and EE Systems
Foster City, CA
Full-time
Hybrid
Mid Level
$111K/yr - $134K/yr
3+ years expZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. As a Design Reliability Engineer, you will work with a team of engineers to establish reliability performance targets for sensors and electronic control units, drive failure mode analysis, and develop health monitoring strategies to ensure the vehicles' reliability and safety.
Artificial Intelligence (AI)Autonomous VehiclesMachine LearningRoboticsTransportation
Responsibilities
Establish and refine the system/component-level targets for reliability performance of the sensors (including LiDAR, radar, and camera components), AI compute system, and other automotive electronic control units (ECU) in collaboration with internal stakeholders on the Hardware and Sensors Engineering teams
Drive the design failure mode and effects analysis process (DFMEA) for relevant sensors, high-performance computers, and ECUs to capture key reliability risks and define appropriate mitigation strategies
Use reliability targets, DFMEA outputs, and physics-of-failure principles to partner with validation engineers in developing virtual and physical test plans that prove out designs and demonstrate required reliability performance
Lead the definition and deployment of Prognostics and Health Monitoring (PHM) strategies for sensors, compute, and EE systems, including identification of available signals, development of health indicators, degradation models, and failure precursors to enable early fault detection and remaining useful life estimation
Partner with software, data, and systems teams to operationalize PHM capabilities in the vehicle and backend pipelines, translating reliability risks into actionable monitoring, alerting, and maintenance recommendations
Pave the way from development to field deployment by building closed-loop reliability systems that leverage field data, PHM insights, and fleet telemetry to identify performance improvement opportunities and drive corrective actions across design, validation, and operations
Qualification
Required
Bachelor's and/or Master's-level engineering degree or equivalent technical background with 3-5 years of hands-on experience in Reliability Engineering
Detailed understanding of sensors, high-performance computers, and ECUs, including common failure modes and associated validation methodologies
Expertise in reliability data analysis, risk assessment, and development of component reliability targets aligned with functional safety and business objectives
Strong foundation in reliability statistics (e.g., Weibull, life data analysis, degradation modeling, confidence bounds) and reliability physics (e.g., thermal, vibration, electrical, and environmental failure mechanisms)
Experience in failure mode assessment, accelerated reliability testing, advanced field reliability monitoring, and/or prognostics and health management concepts
Personable, with the ability to lead and influence cross-functional engineering teams toward world-class reliability and dependability
Preferred
Demonstrated knowledge in Python-based data analysis tools such as PySpark, Pandas, NumPy, and SciPy
ASQ Certified Reliability Engineer, or similar professional recognition
An understanding of ISO 26262 Functional Safety
Benefits
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
Life insurance
Company
Zoox
Zoox is an AI robotics company that provides mobility-as-a-service and self-driving car services. It is a sub-organization of Amazon.
1001-5000 employees
H1B Sponsorship
Zoox has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (293)
2024 (297)
2023 (209)
2022 (204)
2021 (131)
2020 (83)
Funding
Current Stage
Late StageTotal Funding
$955MKey Investors
Grok Ventures
2020-06-26Acquired
2019-10-21Convertible Note· $200M
2018-07-08Series B· $465M
Leadership Team
Nelson Pedreiro
Sr. Vice President, Hardware
Z
Zheng Gao
Director of Hardware Engineering
Recent News
2026-01-16
Business Insider
2026-01-16
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2025-12-24
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