Amperesand
Senior Manufacturing Engineer
Reno, Nevada, United States · Senior
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About the role
- It is a rare and valuable learning experience for manufacturing engineers to be embedded so deeply in both product and manufacturing development.
Responsibilities
- Lead Design for Manufacturing (DFM) and Design for X (DFx), Assembly, Quality, Reliability
- Lead and implement robust manufacturing processes, including process sequencing, critical parameter development, and assembly recipes
- Drive quality, repeatability, and throughput in both prototype and production environments.
- Collaborate closely with Design Engineering, NPI, Quality, and Production teams throughout the product lifecycle
- Act as a technical lead to resolve quality and functional issues in production and with contract manufacturers.
- Develop data-driven action plans and root cause analyses to ensure timely resolution and continuous improvement.
- Design and validation of novel prototype tooling and assembly equipment with 3rd third-party equipment builder.
- Collaborate with the equipment design engineer for in-house equipment development.
- Support the ramp-up of production lines, resolving technical issues, optimizing process performance, and ensuring lines meet takt time, yield, and labor efficiency targets.
- Perform line balancing and capacity planning studies to support efficient line layout, equipment utilization, and throughput targets as production scales.
Requirements
- Bachelor's or master's degree in mechanical, Manufacturing, or Industrial Engineering (or related field)
- 5+ years of experience in manufacturing engineering, with background in DFM, process development, and high-mix or low-to-high-volume production
Company info
- We are facing a once-in-a-generation opportunity for infrastructure disruption.
- Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.
This listing is sourced directly from Amperesand's careers page and normalized into a canonical job model.