General Motors is a global automotive and manufacturing company working across vehicle engineering, production, transportation, and information technology. Founded in 1908, GM develops technologies aimed at advancing mobility while pursuing its vision of zero crashes, zero emissions, and zero congestion. Its international operations bring together large, multidisciplinary teams focused on innovation, sustainable transportation, and the future of the automotive industry.
Senior Lead Engineer, Automotive Paint Digital Manufacturing — General Motors (Bengaluru Hybrid)
Lead digital transformation for General Motors’ automotive paint manufacturing operations in Bengaluru. Build Smart Factory, AI/ML, Digital Twin, and virtual commissioning solutions for launches and process improvement.
Description
- Lead digital transformation programs for automotive paint manufacturing through Digital Manufacturing and Smart Factory technologies.
- Deploy AI/ML, computer vision, XR, and advanced analytics to improve FTQ, equipment reliability, process efficiency, and virtual validation.
- Build, deploy, and maintain Digital Twins for paint-shop products, processes, and equipment.
- Create an integrated digital thread connecting PLM, CAD, simulation, MES, and shop-floor systems.
- Design and validate vision systems for defect detection, color consistency, sealer quality, coating coverage, and film-thickness assessment.
- Configure AI agents and automation workflows that connect enterprise data, engineering tools, and knowledge repositories.
- Automate CAD and PLM processes with APIs, macros, templates, and rule-based engineering tools.
- Develop CAD-to-XR workflows for virtual reviews, training, manufacturing validation, and collaboration.
- Support paint-facility execution, virtual commissioning, and launch programs across greenfield and brownfield projects.
- Improve paint processes to strengthen quality, reduce warranty costs, increase FTQ, and improve equipment uptime.
- Deliver paint warranty analysis, technical reports, and simulation-led recommendations for global manufacturing operations.
Requirements
- Bachelor’s degree in mechanical, chemical, paint engineering, or a related discipline, plus certification or demonstrated interest in AI and data science.
- At least 5 years of experience with digital transformation, Digital Twin or Digital Thread implementation, industrial automation, XR, and vision systems in automotive or discrete manufacturing.
- Ability to convert business needs into scalable digital and automation solutions.
- Demonstrated success developing and deploying AI/ML, Smart Factory, advanced analytics, computer vision, and Digital Twin solutions for manufacturing.
- Hands-on experience with Digital Twin, XR, or industrial metaverse platforms such as NVIDIA Omniverse, Siemens Xcelerator, Azure Digital Twins, and 3DEXPERIENCE is preferred.
- Knowledge of LLMs, RAG, TensorFlow, PyTorch, deep-learning frameworks, ETL pipelines, and Databricks.
- Proficiency with Python, SQL, C++, C#, VB Script, APIs, data pipelines, Power BI dashboards, and AI-agent workflow development.
- Working knowledge of CAD automation platforms and APIs, including AutoCAD, NX Open, CATIA CAA, and SolidWorks API, is preferred.
- Familiarity with FANUC, Dürr systems, ROS 2, Isaac Sim, and DDS is advantageous.
- Knowledge of automotive paint-shop processes, equipment, materials, and manufacturing operations.
- Experience with automotive paint-shop launches, facility execution, process setup, and virtual commissioning is preferred.
- Strong analytical, problem-solving, communication, and stakeholder-management abilities.
- Willingness to travel globally according to business needs, approximately 50–70%.
- Must not require GM immigration sponsorship now or in the future.
Benefits
- Hybrid work arrangement.
- Opportunities to lead digital transformation programs and build advanced digital-manufacturing expertise.
- Employee inclusion and belonging culture at General Motors.
- Reasonable accommodations for applicants with disabilities.
- Role-related assessment and/or pre-employment screening may be required.