Ford Motor Company

Senior System Reliability Engineer

Ford Motor Company

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Job Level

Senior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau

About the role

  • Define reliability targets for different systems and subsystems by cascading top level requirements based on system complexity and architecture maturity
  • Develop design validation test campaign for different systems in a vehicle at different stages of development from concept to launch
  • Specify test resources and design accelerated test profiles for different systems and subsystems
  • Lead the efforts to analyze the root causes of failures and interpret the results of SEM, XRD, optical microscopy, and other tools commonly used in forensic engineering
  • Work in a cross-functional environment with individuals from different teams and with different backgrounds
  • Use connected vehicle platforms to inform hardware design by generating duty cycles that are based on real-life usage data
  • Conduct DFMEA studies for different systems

Requirements

  • B.S. in Mechanical, Electrical, or Chemical Engineering, Material Science, applied Physics or Chemistry with 5+ years of relevant experience in reliability engineering, test design, and failure analysis
  • Advanced knowledge of reliability engineering mathematics including but not limited to: Different statistical distribution commonly used in reliability analyses and their attributes
  • Reliability requirement development, target allocation, cascading the reliability requirements from top level to system and subsystem levels and setting the appropriate confidence levels
  • Fleet data analysis: Identify appropriate target user to define mission profiles/ duty cycles
  • Failure vs suspension test data treatment, data censoring
  • Advanced knowledge of accelerated life testing such as: Test plan development (using the outcomes of DFMEA or legacy engineering knowledge)
  • Specify sample sizes
  • Determine the order of waterfall test sequences
  • Duty cycle/mission profile development
  • Develop accelerated test profiles in close collaborations with component owners
  • Solids understanding of physics of failure with a focus on fatigue, wear, environmental degradation (temp cycling, time at temp, UV degradation, humidity exposure, oxidation, vibration, etc.)
  • Familiarity and working experience with different industry standards for shock and vibe, corrosion, environmental aggressors, etc.
  • Ability to work with several different teams with distinct backgrounds
  • Demonstrated track record of leading successful root cause analysis campaigns in a multi-functional environment
  • Demonstrated track record of finding the balance between depth and spread to optimize deliverables while operating in a face-paced environment
  • M.S. or Ph.D. in Mechanical or Electrical Engineering (preferred)
  • Automotive background/experience is highly desired, but not necessary (preferred)
  • Specific coursework focused on Reliability Engineering is a highly desired but not required (preferred)
  • Experience with Microsoft Office, Confluence, and Jira applications (preferred)
  • Experience with instrumentation and measurement of powertrain systems in a lab environment (preferred)
  • Strong written and verbal communication skills (preferred)
  • Python or similar for data analysis [Importance: High] [3+ Years]
  • Cloud Computing for data processing, storage, automation: Google Cloud Platform (preferred) or similar e.g., AWS, Azure [Importance: Medium] [1+ Years]
  • Familiarity with relational databases/data warehouses and SQL (query language) for querying fleet connected vehicle data [Importance: High] [2+ Years]
  • Familiarity with data visualization tools like Power BI, Tableau, Looker Studio [Importance: Medium] [1+ Years]