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Staff Systems Reliability Engineer

Staff Systems Reliability Engineer

Ford Motor CompanyLong Beach, CA, United States
30+ days ago
Job type
  • Full-time
Job description

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world together. At Ford, were all a part of something bigger than ourselves. Are you ready to change the way the world moves?

Fords Electric Vehicles, Digital and Design (EVDD) team is charged with delivering the companys vision of a fully electric transportation future. EVDD is customer-obsessed, entrepreneurial, and data-driven and is dedicated to delivering industry-leading customer experience for electric vehicle buyers and owners. Youll join an agile team of doers pioneering our EV future by working collaboratively, staying focused on only what matters, and delivering excellence day in and day out. Join us to make positive change by helping build a better world where every person is free to move and pursue their dreams.

In this highly interdisciplinary role, you will work with multiple teams and help set reliability targets at the system and subsystem level. You will oversee the design validation test campaigns throughout different stages of vehicle development from proof of concept to the launch. You will be defining test plans, quantities and test profiles in collaboration with subject matter experts based on the physics of failure, complexity of systems, and technology readiness levels. You will be identifying failure modes and design test methods to exercise them. This role is expected to support an entire vehicle.

Qualifications

  • 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. 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

Even better, you may have...

  • 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
  • Strong written and verbal communication skills
  • Software skills for fleet analysis :

  • 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)
  • You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

    Benefits

    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 builderor 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 Years Day
  • Paid time off and the option to purchase additional vacation time.
  • This position is a leadership level 6. For more information on salary and benefits, click here :

    Visa sponsorship is available for this position.

    Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

    Equal Opportunity

    We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

    Onsite Work

    Onsite work of up to four days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid #LI-JD2

    Responsibilities

  • 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
  • #J-18808-Ljbffr

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    Staff Reliability Engineer • Long Beach, CA, United States

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