Lead Manufacturing Process Engineer – AME & Testing
GE HealthCare · Bengaluru, Karnātaka ·
- Seniority
- Lead
- Category
- Industrial engineering
- Experience
- 6+ years
GE HealthCare · Bengaluru, Karnātaka ·
Own and lead manufacturing engineering activities for New Product Introductions (NPI) and manufacturing transfers for existing products, collaborating with global and local cross-functional teams including Engineering, Manufacturing, Quality, and Supply Chain.
Lead and support process engineering activities associated with new product introductions, manufacturing readiness, production ramp-up, and implementation of new manufacturing and testing technologies.
Design, develop, improve, and support manufacturing automation systems, test equipment, Special Purpose Machines (SPMs), fixtures, tooling, and manufacturing aids to enable efficient and reliable production.
Support the transition from legacy testing systems to new testing platforms, software, automation tools, and testing infrastructure.
Develop and support automated test equipment involving electromechanical components and control systems, including servo motors, encoders, ball screws, sensors, electrical and electronic circuits, and related machine control technologies.
Apply knowledge of NI hardware programming and equipment control systems to support automated equipment functions such as motor control, operational sequencing, equipment run-time management, sensor integration, data capture, and automated machine operations.
Lead troubleshooting and structured problem-solving activities to resolve complex medical equipment manufacturing and testing issues.
Conduct root cause investigations and failure analysis to identify technical issues related to equipment, manufacturing processes, test systems, and product performance, and implement sustainable corrective actions.
Own process qualification and validation of manufacturing processes, assembly-line tools, automation systems, and testing equipment to ensure robust and compliant manufacturing operations.
Lead process risk assessments and drive factory, forward production, and field quality improvements through structured problem-solving, failure analysis, and Defects Per Unit (DPU) reduction initiatives.
Champion Lean Manufacturing, automation, digital transformation, AI/ML, IoT, advanced analytics, and plant modernization initiatives in collaboration with central Advanced Manufacturing Engineering teams to improve operational excellence and productivity.
Utilize Power BI and other appropriate data visualization and analytics tools to support equipment performance monitoring, manufacturing reporting, data analysis, and data-driven decision-making.
Support the collection and analysis of manufacturing and equipment data to identify trends, understand equipment behavior, improve testing processes, and identify opportunities for productivity and quality improvement.
Support the development and implementation of predictive maintenance approaches using equipment, sensor, and performance data to identify potential failures and enable a transition from reactive to data-driven maintenance strategies.
Evaluate opportunities to apply AI/ML and advanced analytics to manufacturing and testing processes where these technologies can improve equipment performance, testing effectiveness, product quality, productivity, or engineering decision-making.
Collaborate with internal and external stakeholders on equipment upgrades, new testing infrastructure, manufacturing technology implementation, and continuous improvement initiatives.
Manage engineering change requests and lead the effective implementation of approved changes on the manufacturing floor, including appropriate documentation and process updates.
Support implementation and execution of Quality Management System (QMS) requirements on the manufacturing floor in accordance with applicable medical device regulations and internal quality requirements.
Develop and maintain clear engineering documentation, equipment and process specifications, validation records, technical reports, work instructions, and other manufacturing process documentation.
Provide technical leadership and coaching to Process Engineering team members in automation, process development, test equipment, risk analysis, structured problem-solving, and QMS requirements.
Initially operate as an individual contributor while providing guidance and oversight to contractors and graduate trainees (GTs), with the potential to take on increased team leadership responsibilities as the organization and program grow.
Support and guide small engineering teams, contractors, or trainees to ensure technical activities are executed effectively and aligned with program, quality, and delivery expectations.
Manage multiple engineering priorities and deliver technical solutions on time while maintaining appropriate standards of quality, documentation, and regulatory compliance.
Bachelor’s or Master’s degree in Mechanical Engineering, Production Engineering, Manufacturing Engineering, Mechatronics, Robotics & Automation Engineering, Electrical Engineering, Electrical & Electronics Engineering, or a related engineering discipline.
Minimum 6+ years of relevant experience in Process Engineering, Manufacturing Engineering, Advanced Manufacturing Engineering, Test Engineering, Automation Engineering, or a related core engineering environment.
Strong hands-on experience in manufacturing or process engineering, including manufacturing process development, equipment development, troubleshooting, and continuous improvement.
Hands-on experience with test equipment automation and automated manufacturing or testing systems.
Hands-on exposure to Special Purpose Machines (SPMs), including development, implementation, operation, integration, or troubleshooting.
Practical understanding of electromechanical equipment and components, including servo motors, encoders, ball screws, sensors, electrical and electronic circuits, and equipment control systems.
Knowledge or hands-on experience with NI hardware programming, hardware interfaces, or comparable equipment control systems used to integrate hardware and software for automated machine or test functions.
Strong problem-solving, troubleshooting, root cause analysis, and failure analysis capabilities.
Knowledge and practical application of structured problem-solving and continuous improvement methodologies such as Lean Manufacturing, Six Sigma, and data analysis.
Exposure to Power BI, AI tools, IoT platforms, advanced analytics, or similar digital manufacturing technologies.
Understanding of predictive maintenance concepts, equipment data analysis, sensor-based monitoring, and data-driven decision-making.
Experience or working knowledge of manufacturing process and equipment qualification and validation.
Knowledge of Quality Management System (QMS) requirements applicable to regulated manufacturing environments.
Prior experience providing technical guidance or managing a small team, with experience supporting approximately two or more team members, contractors, or trainees.
Strong focus on engineering documentation and the ability to develop clear technical reports, specifications, validation documentation, and manufacturing records.
Ability to manage multiple technical priorities and deliver commitments on time while maintaining quality and compliance requirements.
Strong written and verbal communication skills with the ability to work effectively across Engineering, Manufacturing, Quality, Supply Chain, and other cross-functional teams.
Experience in medical device or medical equipment manufacturing.
Experience supporting New Product Introduction (NPI), product industrialization, manufacturing transfer, production ramp-up, or similar product introduction programs.
Experience working with complex medical equipment, capital equipment, or other highly engineered electromechanical products.
Knowledge of PCB/electronics-related manufacturing, assembly, and testing.
Experience supporting equipment upgrades or transitioning from legacy manufacturing/test equipment to new automated testing platforms.
Experience applying Power BI or similar visualization tools to manufacturing, equipment, test, or operational data.
Exposure to AI/ML-enabled manufacturing applications, IoT technologies, connected equipment, or advanced manufacturing analytics.
Experience implementing or supporting predictive maintenance solutions using equipment, sensor, or operational data.
Experience with manufacturing data collection, performance monitoring, reporting, and continuous improvement.
Experience leading process risk assessments, manufacturing quality improvements, DPU reduction, and product reliability improvement initiatives.
Experience collaborating with global Advanced Manufacturing Engineering, product engineering, manufacturing, quality, and supply chain teams.
Demonstrated ability to mentor engineers, graduate trainees, technicians, or contractors and build technical capability within a manufacturing organization.
Ability to adapt to evolving technologies, new manufacturing platforms, and changing program requirements while maintaining a strong focus on execution, quality, and compliance.
GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.
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Relocation Assistance Provided: Yes