Field Reliability Analyst
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Job Location:
Foster, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Zoox is transforming mobility with fully autonomous electric vehicles designed from the ground up for a driverless future. Our mission is to make transportation safer more sustainable and accessible to everyone. At Zoox innovation collaboration and a bold vision for the future drive everything we do.
The Reliability team leverages data from our autonomous vehicle fleet and operations to understand system performance identify failure trends and improve vehicle availability and safety. As a Reliability Data Analyst you will work closely with Reliability Engineering Mission Assurance and Vehicle Systems teams to develop analytics metrics and tooling that support reliability targets and continuous improvement across our autonomous platform. This role is ideal for someone early in their career who enjoys hands-on data work statistical analysis and collaborating with engineers to translate vehicle and operational data into actionable reliability insights. You will contribute directly to production decisions such as issue prioritization design improvements and maintenance strategies while building depth in reliability engineering and large-scale data pipelines. Youll join a diverse experienced reliability organization and gain access to one of the most unique vehicle datasets in the autonomous driving industry.
In this role you will:
- Analyze fleet vehicle and operational data to support reliability safety validation and service readiness initiatives
- Partner with Reliability Engineering and Mission Assurance to help define and track key performance metrics
- Build and scale end-to-end predictive frameworks to monitor component/subsystem health degradation trends and real-world usage patterns.
- Build and maintain data pipelines queries and dashboards to enable visibility into system health and performance
- Perform statistical analyses to identify trends anomalies and improvement opportunities across hardware and software systems
- Support investigations into vehicle issues by cleaning aggregating and visualizing large datasets
- Contribute to best practices around data quality reproducibility and analytical rigor
- Communicate findings clearly to technical stakeholders through written summaries visualizations and presentations
Qualifications:
- 13 years of professional experience (or equivalent academic/project experience) in data science analytics reliability engineering or a related field
- Working proficiency in SQL for querying relational databases
- Working proficiency in Python and common data analysis libraries (Pandas NumPy SciPy)
- Foundational understanding of statistics and the ability to communicate uncertainty and assumptions
- Experience building analyses metrics or dashboards to support engineering or business decisions
- Familiarity with version control systems (Git).
- General knowledge of physics and engineering principles.
- Strong communication skills and ability to collaborate across engineering teams
Bonus Qualifications:
- Exposure to Spark or large-scale data processing environments (e.g. Databricks)
- Coursework or experience in reliability engineering statistical inference or system performance analysis.
- Experience working with hardware automotive or embedded system data
- Familiarity with geospatial data
- Interest in autonomous vehicles robotics or complex cyber-physical systems
- Exposure to machine learning or experimentation frameworks
$155000 - $186000 a year
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.
