Advanced Manufacturing Engineer Jenbacher Engines
Waukesha, WI - USA
Department:
Job Summary
About INNIO:
INNIOGroupis aglobaldistributed energy solutions provider that delivers reliable flexible transient decentralizedmodularand efficient track recordofinnovation INNIO designs manufactures and services highperformance power systemsunder its Jenbacher and Waukesha company delivers power for applications including data centers microgrids grid stabilization industrialenergyand gas compression.
INNIO operates a global installed baseacross approximately100 countriesas of December 31 2025 supported by a resilient highmargin services business that delivers longterm recurring revenues across the full equipment lifecycle. As electricity demand acceleratesdriven by AIelectrificationand grid constraintsINNIO enables scalable behindthemeter power generation with high efficiency fast start capability strongtransientperformanceand fuel flexibility including hydrogenready solutions. INNIO employsover5000 people worldwide and is committed tomoving energy forward.
The Advanced Manufacturing Engineer (AME) is responsible for the development optimization and industrialization of manufacturing processes for engine components. This role supports the ramp-up of machining operations in Waukesha ensuring robust cost-effective and high-quality production aligned with INNIO standards.
This is unique opportunity to use your expertise in the support the start-up of a new production line of generators.
What youll do:
- Develop andoptimizemachining processes for conrod manufacturing (e.g. milling drilling honing finishing)
- Define andmaintainmanufacturing BOMs routings and work instructions including standard times
- Support production ramp-up including line setup process validation and troubleshooting
- Drive continuous improvement of quality cycle time and cost using Lean and Six Sigma principles
- Analyze tooling consumables and machining parameters to improve process capability and reduce cost
- Collaborate with Engineering/Design to ensure manufacturability of conrod components
- Lead or support industrialization activities including fixture design and equipment specification
- Work cross-functionally with global teams (e.g. Jenbach) to transfer and standardize processes
- Monitor KPIs and implement corrective actions for safety quality delivery and cost performance
What youll have:
- Bachelor degree in Manufacturing Engineering Mechanical Engineering Industrial Engineering or related field
- 3 years of manufacturing engineering experience inmachining or production engineering ideally with precision components (e.g. engine parts rodscranktrain)
- Experience with assembly and/or machining of heavy industrial equipment.
- Strong understanding of CNC machining processes and tooling concepts
- Experience with ERP systems (preferably Oracle) and manufacturing data structures (BOMsroutings)Abilityto travelto Austriaup to 10% of time including for a long-term training assignment.
- Ability to read and interpret engineering drawings and GD&T
- Solid project management and problem-solving skills
- Willingness and ability to travel internationally to support training knowledge transfer and production rampup including for extended training periods
Additional Information:
- Location: Waukesha WI
- Work Schedule: Onsite Monday through Friday
- Travel: Up to 20% travel with the greatest demand at the start of the roleincluding approximately 2.5 months inJenbach Austria.
- Visa Sponsorship: This position is not eligible for visa sponsorship.
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INNIO offers a great work environment professional development challenging careers and competitive compensation. INNIO is an Equal Opportunity Employer. Employment decisions are made without regard to race color religion national or ethnic origin gender (including pregnancy) sexual orientation gender identity or expression age disability veteran status or any other characteristics protected by law.
Required Experience:
IC
About Company
INNIO is empowering the transition to net zero – with energy solutions and services that are flexible, scalable, and resilient.