Design Reliability Engineer – Sensor, Compute and EE Systems
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Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
At Zoox we have set the goal to provide our customers with the highest level of safety and a best-in-class experience while using our fully autonomous vehicles. You will work with a team of leading engineers with diverse backgrounds such as robotics control and vehicle engineering to deliver vehicle performance using virtual tools and taking on the virtual and physical durability development you will work on predicting where the vehicle is within its lifespan and providing maintenance scenarios and optimization strategies.
In this role you will:
- 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.
Qualifications
- Bachelors and/or Masters-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.
Bonus Qualifications
- 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
$164000 - $197000 a year
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 candidates 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. Were 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 emailprotected or your assigned recruiter.
A Final Note:
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
IC
Key Skills
- Kubernetes
- FMEA
- Continuous Improvement
- Elasticsearch
- Go
- Root cause Analysis
- Maximo
- CMMS
- Maintenance
- Mechanical Engineering
- Manufacturing
- Troubleshooting
About Company
We’re reinventing personal transportation—making the future safer, cleaner, and more enjoyable for everyone. This is on-demand autonomous ride-hailing.
