Amazon Robotics
Robotics
ReliabilityAnalyticsEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Reliability Analytics Engineer at Amazon Robotics. Skills: Reliability data analytics, Data systems, Automation, AI/ML. Define data requirements. Build and validate ETL processes”
Industry & Context.
Problem solving; Root cause analysis
What They're Looking For.
Must Have
BS degree in mechanical engineering, 3+ years of working in mechanical engineering, Experience with data analysis tools, Experience applying basic statistical methods
Nice to Have
Knowledge of data engineering pipelines, Knowledge of cloud solutions, Knowledge of ETL management, Knowledge of databases, Knowledge of visualizations, Knowledge of analytical platforms, Experience with AWS services, Experience managing and deploying ML products, Experience with reliability tools
What You'll Do.
Define data requirements
Build and validate ETL processes
Perform data cleansing
Validate reliability datasets
Prepare reliability datasets
Translate reliability engineering questions
Structure ambiguous problems
Develop reliability-specific assessment tools
Maintain reliability-specific assessment tools
Design dashboard requirements
Specify dashboard requirements
Build dashboard prototypes
Operationalize production dashboards
Identify gaps in available data
Define collection requirements
Establish data governance practices
Run Mean Cumulative Function examinations
Run Weibull examinations
Automate reliability growth tracking
Generate standard reports
Deliver failure rate data
Refine Machine Learning classifiers
Auto-tag field failure tickets
How You'll Work.
Team & Collaboration
Data engineering teams; Reliability engineering team; Hardware test teams; Field teams
Full Job Description
Are you inspired by invention? Is problem solving through teamwork in your DNA? We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet. Amazon Robotics is at the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. We design the hardware, write the code, test, build and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in self-governing movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more. We are seeking a Reliability Engineer specializing in reliability data analytics to drive data-informed availability selections across Amazon Robotics product programs and deployed fleet. You will apply reliability engineering methods while owning the assessment tools, datasets, and reporting that the broader reliability engineering team depends on. You will define requirements for data pipelines and dashboards, use AI and automation to build them, and directly develop reliability-specific assessment tools. This role combines hands-on reliability engineering with a strong bias toward data systems, enabling the team to scale its evaluation capacity across multiple product programs simultaneously. Key job responsibilities Define data requirements and specifications for reliability pipelines; partner with data engineering teams to build and validate ETL processes that ingest field failures, test data, and product telemetry from enterprise data lakes and EAM systems. Perform data cleansing, validation, and preparation of reliability datasets (censored life data, field service records, accelerated test results) to ensure assessment correctness before use in making engineering choices. Translate reliability
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