Staff System Reliability Engineer at Ford Global Career Site

Long Beach, California, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Feb, 26

Salary

0.0

Posted On

04 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Reliability Engineering, Test Design, Failure Analysis, Root Cause Analysis, Data Analysis, Python, Cloud Computing, SQL, Data Visualization, DFMEA, Accelerated Life Testing, Forensic Engineering, Statistical Distribution, Environmental Degradation, Cross-Functional Collaboration, Automotive Engineering

Industry

Motor Vehicle Manufacturing

Description

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. You will be presented with problems from very diverse disciplines of engineering (mechanical, electrical, chemical, and more). You will have the opportunity to both lead and learn 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 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. You will be presented with problems from very diverse disciplines of engineering (mechanical, electrical, chemical, and more) 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 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. M.S. or Ph.D. in Mechanical or Electrical Engineering. Automotive background/experience is highly desired, but not necessary. Specific coursework focused on Reliability Engineering is a highly desired but not required Experience with Microsoft Office, Confluence, and Jira applications Experience with instrumentation and measurement of powertrain systems in a lab environment o Python or similar for data analysis [Importance: High] [3+ Years] o Cloud Computing for data processing, storage, automation: Google Cloud Platform (preferred) or similar e.g., AWS, Azure [Importance: Medium] [1+ Years] o Familiarity with relational databases/data warehouses and SQL (query language) for querying fleet connected vehicle data [Importance: High] [2+ Years] o Familiarity with data visualization tools like Power BI, Tableau, Looker Studio [Importance: Medium] [1+ Years] As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder or all of the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, vision and prescription drug coverage Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: https://fordcareers.co/LL6SP4 Visa sponsorship is available for this position. Verification of employment eligibility will be required at the time of hire.

Responsibilities

Define reliability targets for systems and develop design validation test campaigns. Lead root cause analysis efforts and collaborate across diverse engineering disciplines.