
Automotive manufacturer
PVT Engineer - IPTSE (ICE and Thermal systems) and Underbody
- Lead VHM4-IPTSE (ICE Propulsion and Thermal systems ) Sub-system Variability Reduction Team (VRT). Analyze Internal (Plant) and External Customer quality data 0-3MIS (Warranty, GQRS, JD Powers, Drive, etc) to determine where to focus the IPTSE Teams to implement fixes ( Design, Supplier Quality, Supplier Design , Plant Process) for Responsible of Subsystem. And Interface with PVT in other T6 Plants (GVRT) to coordinate Quality Investigations and replication Improvement.
- Manage Engineering Change (OPD, SREA) Introduction and Functional Build in FTM for Responsible Powertrain Subsystem.
- Support Functional Quality Review (FQR), Vehicle Quality Reviews (VQR), Global Vehicle Quality Reviews (GVQR) and other Quality Review for Responsible Powertrain Subsystem Related.
Lead VHM4-IPTSE (ICE Propulsion and Thermal systems ) Sub-system Variability Reduction Team (VRT) : Climate Systems (HVAC) , Engine , Fuel Systems , Cooling System and Exhaust Systems .
Deliver Quality actions to meet FTM VHM4-IPTSE Responsible Subsystem Quality Targets (0-3 MIS) . Manage vehicle STOPSHIP and In transit Stopship to protect customer.
- Lead discussion with Cross functional team (LVEA , STA , MFG) on Quality Investigations for Design , MFG Process and supplier to take containment actions in timely .
Lead Interface with VHM04 IPTSE in Other T6 Plant and LVEA to Coordinate Quality Investigations and Improvement for Responsible ICE Propulsion and Thermal systems Subsystem.
Lead FTM Engineering Change ( OPD , SREA ) Introduction and Functional Build for Responsible Powertrain Subsystem
- Support Functional Quality Review (FQR) , Vehicle Quality Reviews (VQR), Global Vehicle Quality Reviews (GVQR) and other Quality Review for Responsible Powertrain Subsystem Related.
- Coaching New PVT IPTSE GSR engineers on PVT Tools and VRT Processes
Education Qualification
Degree in Engineering (Mechanical/Industrial Engineering Preferred)
Number of Years of Experience :
- At least 2-5 years of work experience and preferred in the Manufacturing environment
Professional Exposure:
- Strong understanding Powertrain Sub-system ( Engine, Transmission, Driveline, Exhaust System, Cooling System, Fuel System, Air Induction System , HVAC , Vehicle Control Software)
- Experience in Vehicle diagnosis, On board diagnosis (OBD).
- Ford Warranty systems knowledge of ECB, BSAQ, GSAR
- Demonstrated Technical Problem-Solving Skills. Understand quality tool - G8D , 3Leg 5Why ,6 sigma (Green belt , Black belt)
- Ability to establish a systems engineering approach to problem solving. Strong interpersonal and collaboration skills
- Excellent presentation skills, Storytelling approach.
- Proficiency in Microsoft Office Tools (Excel , Power BI , PowerAPP)
- Working in a fast-paced challenging environment. Able to work under high pressure, make timely containment-action decisions (ERA, ICA, PCA) based on data-driven analysis.
- Flexible working hours and can participate in overnight meetings with engineering teams globally across multiple time zones.
Skill & Knowledge requirement :
- Experience in CAD (2D/3D), Team center, GD&T
- Power BI , Power App , AI
- Excellent in Microsoft Office (Excel , Power Point , One note ect.)
- Quality methodologies , G8D , 3Leg 5Why
- 6 sigma (Green belt /Black belt) , DFMEA , PFMEA
- PPAP process , SCAFF and Control plan signoff
- WERS, AIMS
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!
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关于Ford

Ford
PublicThe Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.
10,001+
员工数
Dearborn
总部位置
$48B
企业估值
评价
10条评价
3.7
10条评价
工作生活 平衡
3.8
薪酬
4.2
企业文化
3.5
职业发展
3.2
管理层
2.8
68%
推荐率
优点
Good benefits and compensation
Work-life balance and flexibility
Supportive colleagues and positive environment
缺点
Poor management and communication
Limited career advancement
High workload and stress
薪资范围
21个数据点
Mid/L4
Senior/L5
Mid/L4 · ADAS Data Analytics Engineer
1份报告
$132,847
年薪总额
基本工资
$102,190
股票
-
奖金
-
$132,847
$132,847
面试评价
3条评价
难度
3.0
/ 5
时长
14-28周
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
Phone Screening
3
Technical Interview
4
Team Interview
5
Offer
常见问题
Technical Knowledge
Behavioral/STAR
Past Experience
Coding/Algorithm
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