Manufacturing Industrial Engineer

Join Weiss-Aug – A Leader in Precision Manufacturing and Innovation

Be part of a company that’s shaping the future of manufacturing where your ideas, skills, and passion matter.

Weiss-Aug, is a leading provider of advanced manufacturing and engineering solutions with advanced facilities across the U.S. and Mexico for over 50 years.

At Weiss-Aug we are driven by a commitment to excellence, innovation, and continuous improvement. As a recognized leader in the industrial and commercial sectors, specializing in high-volume metal stamping, thermoplastic molding, and value-added assembly solutions our Weiss-Aug Med Pharma serves the medical device and life science industry, offering unparalleled vertically integrated manufacturing solutions, partnered with in-house product design and engineering services.

These combined capabilities provide Weiss-Aug a strategic advantage over the competition, being able to offer our customers a true, single-source supplier option, to meet their most challenging product innovation needs.

As we continue to push the boundaries of what is possible, including our latest advancements in materials science, specialty coatings, laser processing, and hybrid additive manufacturing technologies – Weiss-Aug Med Pharma needs the best minds in industry. Expanding our team is paramount, bringing in fresh perspectives, ideas and broad-based talent to further enhance our solution offerings, driving new growth and supporting our technology roadmap – including the release of finished drug-delivery / combination devices and machined implants.

We're currently seeking a passionate and skilled Manufacturing Industrial Engineer to join our team and contribute to our mission of delivering high-quality, engineered solutions to our customers worldwide. In this role you will be responsible for simulation and data analytics associated with developing unique, vertically integrated manufacturing solutions for our customers; supporting the Med Tech, Implantable and Drug Delivery / Wearables market segments.

This role is fundamentally based on long-standing best practices in industrial engineering principles: identifying waste, defining value streams, productivity optimization, kanban setups, takt time studies, labor tracking, ergonomics, material flow, pFMEA, and similar Lean Six Sigma tools. Through practical application of the engineering discipline and tools, support new business development with the purpose of generating accurate and detailed costing proposals that exceed customer expectations for quality, price, and delivery.

In addition, support on-going business with opportunities for value-analysis / value engineering by driving continuous improvement and iterative design proposals for our customers seeking future cost savings, further vertical integration, or scalability of existing products.

• Analyze blueprints, specifications, model files (CAD) and other documentation to prepare accurate simulations and supportive data sets / process models for manufacturing projects, particularly those involving insert injection molding of thermoplastics, precision machined components, and/or complex sub-assemblies for the Med Tech industry
• Integrate fully as a partner to Business Development and Solutions Architecture Teams, with primary objective to drive new business opportunities, sales expansion – and further increase competitive advantage through systems engineering and application of Industry 4.0 practices
• Collaborate with engineering, production, procurement and accounting teams to gather actual cost data, historical summaries of previously quoted business (including tooling costs/lead-times, engineering resource utilization, and achieved manufacturing standards relative to those estimated) with the purpose of refining new business and existing business quotations to drive growth
• Partner with IT / ERP Teams (Business Analysts) and Manufacturing expand the use of existing systems for real-time / actual data collection, and adoption of new systems for manufacturing data acquisition and process optimization modeling
• Utilize software tools and engineering knowledge to develop…