Top Manufacturing Engineer Jobs in Seattle, WA

Lead and optimize advanced manufacturing processes and continuous improvement initiatives for new product introduction. Oversee production efficiency, quality, and deployment of advanced manufacturing technologies. Collaborate cross-functionally, recruit and develop team members, and drive cost reduction, process optimization, and customer satisfaction while supporting operational excellence.

Design, develop, validate, and maintain automated production and test equipment for accelerometer manufacturing. Troubleshoot systems, perform database and software updates, create test plans, documentation, webpages and standard work, and support cross-functional teams and process engineers.

Lead transition of designs into production ensuring manufacturability and product quality. Develop work/build instructions, BOMs, fixtures, tools, and inspection gages. Validate and monitor fabrication/process controls, plan workflow and shop layout, coordinate suppliers and supplier quality, assist prototype builds, and support materials/process evaluations within AS9100/ISO quality systems.

Support design-to-production transition by developing producible designs, creating BOMs and work instructions, designing fixtures/gages, supporting material planning, coordinating vendors, and monitoring fabrication and production processes.

Drive manufacturability throughout product lifecycle: perform DFMA, establish and validate production processes, design fixtures/tools/inspection gages, lead production line setup, mentor junior engineers, coordinate material/resource planning, solve complex fabrication and assembly issues, and collaborate across engineering disciplines.

Support design-to-production transition with focus on producibility, process development, tooling and inspection gages, generating BOMs and work instructions, prototype builds, production support, and material/resource planning.

Designs and optimizes production processes, leads equipment and workstation installation, analyzes manufacturing data for improvement, supports design-for-manufacturability, resolves production issues, and applies statistical methods. Collaborates with design and manufacturing teams and participates in staffing and process documentation.

Lead manufacturing engineering for Microsoft cloud hardware: plan factory capacity and layouts, manage suppliers and production risks, standardize processes, implement quality systems (SPC, vision, automation), lead root-cause analysis and continuous improvement (8D, Six Sigma, DFMEA/PFMEA), drive AI/ML and predictive maintenance adoption, validate designs for manufacturability, and deliver metrics and governance for mass production.

Support manufacturing operations by installing and sequencing equipment, analyzing processes and cycle times, preparing process documentation, recommending design-for-manufacturability changes, aiding in problem resolution, participating in cross-functional staffing and design reviews, and performing periodic inspections to improve productivity, quality, and safety.

Lead Design for Automation (DFA) through new product development, ensuring automation-ready designs. Provide senior manufacturing engineering support for automation, robotics, welding, assembly, tooling, and material handling. Act as SME for automation-critical processes, drive DFA standards and governance, lead PFMEAs and capability reviews, support plant transfers and startups, and apply Lean continuous improvement to reduce cost, risk, and variation.

Support manufacturing operations by assisting with machine and workstation installation, process documentation, and production layout optimization. Gather and analyze process data for SPC and cost analysis, recommend design and process changes to improve manufacturability, assist in resolving production issues, participate in cross-functional reviews, conduct periodic inspections, and support continuous improvement initiatives.

Develop and support internal and consumer applications end-to-end with emphasis on test and automation. Create and execute repeatable test plans and automated test scripts, verify system/hardware specs and referential integrity, interpret/modify code (C/C++, C#, Perl, scripts, queries), perform application-level configuration, and support lab-based testing. Role requires periodic travel to China for multi-week trips.

As a Manufacturing Engineer, you will support production, improve manufacturing processes, design tools, train operators, and oversee engineering documentation. You will also interact with customers and evaluate product specifications.

Optimize and troubleshoot processes for PIC wafer fabrication, support scaling and production yield, and utilize metrology equipment for process control.

Develops and owns build plans and manufacturability for aerospace products. Performs DFMA, creates work instructions, tooling/kitting/inspection plans, validates production readiness, resolves technical issues, implements lean methods, and collaborates with IPTs and Supplier Management for lab test integration.

Lead NPI and DFMA for control electronics: review PCBA and enclosure designs for manufacturability, author manufacturing documentation, drive prototype-to-production transitions, develop rack-level integration processes, coordinate across sites and supply chain, and work hands-on with technicians for first-article builds and production readiness.

As a Staff Process Manufacturing Engineer, you'll optimize manufacturing processes, improve yield, conduct root cause analyses, and implement LEAN initiatives for optical modules.

Own product quality and manufacturing execution for Surface/Xbox devices. Lead fault isolation, failure analysis, and corrective actions; define test methods; train manufacturing partners; develop debug and repair tools; drive continual improvement across global manufacturing and refurbishment sites while collaborating with cross-functional teams and data/IT partners.

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.