Sr Engineer / Lead Engineer - Digitize Paint ME
General Motors
Sr Engineer / Lead Engineer - Digitize Paint ME
Job Description
Job DescriptionSponsorship: GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. Work Arrangement:This role is categorized as hybrid. This means the successful candidate is expected to report to the office four times per week or other frequency dictated by the business.What You’ll DoLead digital transformation initiatives in automotive paint manufacturing by implementing Digital Manufacturing and Smart Factory solutions.Deploy AI/ML, Computer Vision, XR and Advanced Analytics solutions to improve FTQ, equipment reliability, process efficiency, and virtual validation in Paint engineering activities.Develop, deploy, and sustain Digital Twins for paint shop products, processes, and equipment's while establishing an end-to-end digital thread across PLM, CAD, Simulation, MES, and shop-floor systems to enable traceability, virtual validation, and data-driven decision-making.Design and validate vision systems for defect detection, color consistency, sealer quality, coating coverage, and film thickness evaluation.Configure AI agents and automation workflows by integrating enterprise data, engineering tools, and knowledge repositories.Automate CAD/PLM solutions using APIs, macros, templates, and rule-based engineering tools to improve engineering productivity integrated with PLM systems.Develop CAD-to-XR pipelines to support virtual reviews, training, manufacturing validation, and collaboration.Support paint facility execution, virtual commissioning, and launch activities for greenfield and brownfield projects.Drive paint process improvements focused on quality, warranty cost reduction, FTQ, and equipment uptime.Provide paint warranty analysis, technical reporting, and simulation-based recommendations for global manufacturing operations.Your Skills & Abilities (Required Qualifications)Bachelor’s degree in Mechanical/ Chemical/ Paint Engineering, or a related field with a certification or special interest in AI and Data Science.5+ years of experience in Digital Transformation, Digital Twin/Digital Thread implementation, Industrial Automation, XR technologies, and Vision Systems within automotive or discrete manufacturing environments with an ability to translate business requirements into scalable digital and automation solutions.Proven experience in developing and deploying AI/ML, Smart Factory, Advanced Analytics, Computer Vision, and Digital Twin solutions for manufacturing applications.Hands-on experience in Digital Twin, XR, and industrial metaverse platforms (NVIDIA Omniverse, Siemens Xcelerator, Azure Digital Twins, 3DEXPERIENCE, etc.) preferred.Knowledge of AI/ML technologies including LLMs, RAG, TensorFlow, PyTorch, deep learning frameworks, ETL pipelines, and Databricks.Proficiency in Python, SQL, C++, C#, VB Script, APIs, data pipelines, Power BI dashboards, and AI-agent workflow development for industrial digital solutions.Working knowledge of CAD automation platforms and APIs (AutoCAD, NX Open, CATIA CAA, SolidWorks API) preferred.Familiarity with industrial robotics and simulation tools such as FANUC, Dürr systems, ROS 2, Isaac Sim, and DDS is an advantage.Knowledge of automotive paint shop processes, equipment, materials, and manufacturing operations.Experience in automotive paint shop launches, facility execution, process setup, and virtual commissioning preferred.Strong analytical, problem-solving, communication, and stakeholder management skills.Willingness to travel globally based on business requirements (up to 50-70%).
About GMOur vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.Why Join Us We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.Non-Discrimination and Equal Employment OpportunitiesGeneral Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.AccommodationsGeneral Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Locations
- India, Karnataka, Bengaluru
Skills Required
- Digital Transformationintermediate
- developingintermediate
- Digital Twinintermediate
- AI/ML technologies including LLMsintermediate
- Pythonintermediate
- CAD automation platformsintermediate
- industrial roboticsintermediate
- automotive paint shop processesintermediate
- automotive paint shop launchesintermediate
Required Qualifications
- Bachelor’s degree in Mechanical/ Chemical/ Paint Engineering, or a related field with a certification or special interest in AI and Data Science. (degree in mechanical)
- 5+ years of experience in Digital Transformation, Digital Twin/Digital Thread implementation, Industrial Automation, XR technologies, and Vision Systems within automotive or discrete manufacturing environments with an ability to translate business requirements into scalable digital and automation solutions. (experience, 5 years)
- Proven experience in developing and deploying AI/ML, Smart Factory, Advanced Analytics, Computer Vision, and Digital Twin solutions for manufacturing applications. (experience)
- Hands-on experience in Digital Twin, XR, and industrial metaverse platforms (NVIDIA Omniverse, Siemens Xcelerator, Azure Digital Twins, 3DEXPERIENCE, etc.) preferred. (experience)
- Knowledge of AI/ML technologies including LLMs, RAG, TensorFlow, PyTorch, deep learning frameworks, ETL pipelines, and Databricks. (experience)
- Proficiency in Python, SQL, C++, C#, VB Script, APIs, data pipelines, Power BI dashboards, and AI-agent workflow development for industrial digital solutions. (experience)
- Working knowledge of CAD automation platforms and APIs (AutoCAD, NX Open, CATIA CAA, SolidWorks API) preferred. (experience)
- Familiarity with industrial robotics and simulation tools such as FANUC, Dürr systems, ROS 2, Isaac Sim, and DDS is an advantage. (experience)
- Knowledge of automotive paint shop processes, equipment, materials, and manufacturing operations. (experience)
- Experience in automotive paint shop launches, facility execution, process setup, and virtual commissioning preferred. (experience)
- Strong analytical, problem-solving, communication, and stakeholder management skills. (experience)
- Willingness to travel globally based on business requirements (up to 50-70%). (experience)
- Bachelor’s degree in Mechanical/ Chemical/ Paint Engineering, or a related field with a certification or special interest in AI and Data Science. (degree in mechanical)
- 5+ years of experience in Digital Transformation, Digital Twin/Digital Thread implementation, Industrial Automation, XR technologies, and Vision Systems within automotive or discrete manufacturing environments with an ability to translate business requirements into scalable digital and automation solutions. (experience, 5 years)
- Proven experience in developing and deploying AI/ML, Smart Factory, Advanced Analytics, Computer Vision, and Digital Twin solutions for manufacturing applications. (experience)
- Hands-on experience in Digital Twin, XR, and industrial metaverse platforms (NVIDIA Omniverse, Siemens Xcelerator, Azure Digital Twins, 3DEXPERIENCE, etc.) preferred. (experience)
- Knowledge of AI/ML technologies including LLMs, RAG, TensorFlow, PyTorch, deep learning frameworks, ETL pipelines, and Databricks. (experience)
- Proficiency in Python, SQL, C++, C#, VB Script, APIs, data pipelines, Power BI dashboards, and AI-agent workflow development for industrial digital solutions. (experience)
- Working knowledge of CAD automation platforms and APIs (AutoCAD, NX Open, CATIA CAA, SolidWorks API) preferred. (experience)
- Familiarity with industrial robotics and simulation tools such as FANUC, Dürr systems, ROS 2, Isaac Sim, and DDS is an advantage. (experience)
- Knowledge of automotive paint shop processes, equipment, materials, and manufacturing operations. (experience)
- Experience in automotive paint shop launches, facility execution, process setup, and virtual commissioning preferred. (experience)
- Strong analytical, problem-solving, communication, and stakeholder management skills. (experience)
- Willingness to travel globally based on business requirements (up to 50-70%). (experience)
Responsibilities
- Lead digital transformation initiatives in automotive paint manufacturing by implementing Digital Manufacturing and Smart Factory solutions.
- Deploy AI/ML, Computer Vision, XR and Advanced Analytics solutions to improve FTQ, equipment reliability, process efficiency, and virtual validation in Paint engineering activities.
- Develop, deploy, and sustain Digital Twins for paint shop products, processes, and equipment's while establishing an end-to-end digital thread across PLM, CAD, Simulation, MES, and shop-floor systems to enable traceability, virtual validation, and data-driven decision-making.
- Design and validate vision systems for defect detection, color consistency, sealer quality, coating coverage, and film thickness evaluation.
- Configure AI agents and automation workflows by integrating enterprise data, engineering tools, and knowledge repositories.
- Automate CAD/PLM solutions using APIs, macros, templates, and rule-based engineering tools to improve engineering productivity integrated with PLM systems.
- Develop CAD-to-XR pipelines to support virtual reviews, training, manufacturing validation, and collaboration.
- Support paint facility execution, virtual commissioning, and launch activities for greenfield and brownfield projects.
- Drive paint process improvements focused on quality, warranty cost reduction, FTQ, and equipment uptime.
- Provide paint warranty analysis, technical reporting, and simulation-based recommendations for global manufacturing operations.
- Lead digital transformation initiatives in automotive paint manufacturing by implementing Digital Manufacturing and Smart Factory solutions.
- Deploy AI/ML, Computer Vision, XR and Advanced Analytics solutions to improve FTQ, equipment reliability, process efficiency, and virtual validation in Paint engineering activities.
- Develop, deploy, and sustain Digital Twins for paint shop products, processes, and equipment's while establishing an end-to-end digital thread across PLM, CAD, Simulation, MES, and shop-floor systems to enable traceability, virtual validation, and data-driven decision-making.
- Design and validate vision systems for defect detection, color consistency, sealer quality, coating coverage, and film thickness evaluation.
- Configure AI agents and automation workflows by integrating enterprise data, engineering tools, and knowledge repositories.
- Automate CAD/PLM solutions using APIs, macros, templates, and rule-based engineering tools to improve engineering productivity integrated with PLM systems.
- Develop CAD-to-XR pipelines to support virtual reviews, training, manufacturing validation, and collaboration.
- Support paint facility execution, virtual commissioning, and launch activities for greenfield and brownfield projects.
- Drive paint process improvements focused on quality, warranty cost reduction, FTQ, and equipment uptime.
- Provide paint warranty analysis, technical reporting, and simulation-based recommendations for global manufacturing operations.
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