Reliability Analytics Engineer, Amazon Robotics
About The Position
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.
Requirements
- BS degree in mechanical engineering or equivalent
- 3+ years of working in mechanical engineering or equivalent experience
- Experience with data analysis tools such as Advanced Excel, SQL, Tableau, Python
- Experience applying basic statistical methods (e.g. regression) to difficult business problems
Nice To Haves
- Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
- Experience with AWS services including S3, Redshift, EMR and RDS
- Experience managing and deploying ML products
- Experience with reliability tools (Reliasoft, Minitab, JMP, or equivalent)
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 engineering questions into data queries and assessment workflows structuring ambiguous problems into repeatable, scalable evaluation methods that other engineers can reuse.
- Develop and maintain reliability-specific assessment tools and automation using Python, AI/ML, and statistical libraries (e.g., automated failure mode classification, survival assessment calculators, and fleet health monitoring scripts)
- Design and specify dashboard requirements for reliability KPIs (availability, MTBF, MTTR, failure rate trends); build prototypes and operationalize production dashboards.
- Identify gaps in available data, define collection requirements for new failure modes or test programs, and work with hardware test and field teams to close data gaps.
- Establish data governance practices for reliability datasets (i.e. metadata standards, version control, traceability to source systems) so assessment findings are reproducible and auditable.
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan
- sign-on payments
- restricted stock units (RSUs)
- health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- paid time off
- parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
