Description

We are seeking an experienced Automotive Engineer – NPD CAD Designer & Analytics Specialist to join our Global Engineering team in Chennai, reporting to the CAD Manager LL6. This role is primarily focused on leading the delivery of high-quality CAD engineering for Interior Trims (IP, CNSL, Registers, Door Trims, Hard Trims & Soft Trims), supporting critical GPDS milestones (V0, V1, V2, FDJ) and ensuring FECDS compliance through Ford Process. You will own the entire Interiors NPD lifecycle — from A-surface evaluation and surface-to-CAD conversion, through DPA evaluation using Vis-Mockup, to releasing items in Teamcenter as part of the P-release process — while also preparing 2D drawings that meet Ford's global standards and timelines.

In addition to core CAD/NPD responsibilities, this role offers an opportunity to apply data analytics and foundational machine learning skills to engineering data, helping the team identify trends, forecast workloads, and improve decision-making using tools such as Python and SQL/BigQuery. This is not a primary data science role; rather, it is intended for a CAD/NPD engineer who brings complementary analytical capability to enhance engineering efficiency and insight generation. The ideal candidate is a proactive, detail-oriented professional with strong Ford-specific tool expertise, a solid grasp of vehicle architecture and assembly sequences, and the curiosity to leverage data-driven approaches where they add value — all while embodying One Ford Behavior in a global, collaborative environment.

Responsibilities

CAD / NPD Engineering (Primary Focus)

- Deliver 3D CAD for Interior Trims (IP, CNSL, Registers, Door Trims, Hard Trims & Soft Trims) using Catia, 3DX, Teamcenter, and Vis-Mockup, along with 2D drawings and P-release process deliverables for global and region-specific programs.




- Manage CDHR/BOM processes using CDHR and FEDEBOM to ensure part claiming ownership, timely CAD population, and CDHR health tracking across all program gateways; resolve CDHR NOK issues in collaboration with Engineering & Suppliers.
- Perform DPA evaluations, including digital assembly checks, interface/alignment validation, distance measurements, and dynamic clearance studies using Vis-Mockup.
- Prepare and deliver precise 2D drawings in accordance with FECDS standards and Ford design rules.
- Collaborate cross-functionally with D&R; Engineers to ensure all CAD deliverables meet Ford standards at every gateway/milestone.
- Ensure every gateway/milestone is aligned with Ford standards and design rule requirements.
- Drive innovation by participating in efficiency initiatives such as current Catia macros or CAD process automation.

Data Analytics & ML Support (Secondary Focus)

- Apply basic exploratory data analysis (EDA) and statistical techniques to engineering, BOM, and CDHR datasets to identify trends and anomalies relevant to NPD workload and complexity.
- Support the development of simple forecasting or predictive models (e.g., regression-based) to help estimate engineering workload and highlight complexity drivers.
- Write SQL queries (including in BigQuery) to extract and analyze engineering data as needed to support reporting and insight generation.
- Assist in building or maintaining lightweight dashboards to visualize engineering trends for team and stakeholder reviews.




- Collaborate with Analytics/Data Engineering teams when deeper AI/ML expertise is required, providing domain context and data interpretation support.

Qualifications

Education

- Bachelor's degree in Engineering (Mechanical/Automobile) or related discipline.

Experience

- 8+ years of experience in Automotive Product Development.
- At least 4–6 years of specialized experience in new part development (CAD/NPD).
- Proven experience supporting CAD milestones (V0/V1/V2 & FDJ) within a Ford environment is highly preferred.
- Basic to intermediate hands-on experience (1+ years) applying data analysis or introductory machine learning techniques is a plus, but not a core requirement.

Functional/Technical Skills — CAD/NPD (Core)

- Advanced software proficiency in Catia V5, 3DX, Teamcenter, and Vis-Mockup.
- Expert knowledge of Teamcenter (AL-PL & P-Release process) and Ford BOM management systems (FEDE, CDHR).
- In-depth understanding of DPA process, vehicle architecture, systems/sub-systems, and assembly sequence logic.
- Knowledge of FMEAs and engineering quality standards.

Functional/Technical Skills — Data & Analytics (Supporting, Good to Have)

- Working knowledge of Python for data analysis (e.g., Pandas, NumPy) and basic familiarity with common ML libraries (e.g., Scikit-learn) is a plus.
- Basic SQL skills, ideally including exposure to Google BigQuery.
- General awareness of Google Cloud Platform (GCP) tools such as Vertex AI is a plus, but not required.

Preferred Skill Sets

- Strong interpersonal and communication skills to manage stakeholders, suppliers, and global customers.
- Highly motivated self-starter who can manage multiple tasks simultaneously under tight GPDS timelines.
- Ability to work across time zones and diverse cultures, always demonstrating "One Ford" behaviors.

📌 Lead Engineer - ED & BOM (Chennai)
🏢 Ford Motor
📍 Chennai