Specialist Manufacturing Engineer

Job Title: Specialist – Manufacturing Engineering

Job Code : 40892

Job Location: Anaheim, CA

Schedule: 9/80 Reg

Job Description:

The position of Specialist – Manufacturing Engineering, reporting to the Manager, Manufacturing Engineering, under limited supervision, is an experienced professional with proficient knowledge of electromechanical manufacturing, lean manufacturing engineering principles, project management, and technical engineering capabilities to support the Operations team(s) to manufacture and assemble existing and future products.

Essential Functions:

• Lead the development and implementation of manufacturing processes to maintain proper product functionality as well as cost efficiency.
• Develop and maintain detailed documentation of manufacturing processes, procedures, and work instructions.
• Utilize statistical process controls to analyze trends and implement corrective actions to manufacturing processes and/or engineering designs.
• Collaborate closely with design engineering, quality, and production teams to make recommendations for manufacturability to ensure products are manufactured to the highest standards.
• Lead continuous improvement initiatives to enhance safety, production efficiency, reduce waste, and improve product quality.
• Continuously analyze existing manufacturing processes to identify areas for improvement across scalability, efficiency, and cost-effectiveness.
• Collaborate with cross-functional teams including Procurement, Production, Contracts, Planning, Program Management, and Engineering to ensure the Operational plan aligns with all aspects of the business.
• Provide technical support and guidance to the production team, troubleshooting manufacturing issues and implementing effective solutions.
• Train production staff on manufacturing best practices and process improvements.
• Conduct cost-benefit analysis and prepare cost estimates for improvements relating to risks and opportunities.
• Performs other duties as assigned by Management.
• Travel on occasion to the Anaheim location and suppliers - 25%
• Training will be held at the Anaheim location

Qualifications:

• Bachelor’s Degree with minimum 4 years of prior related experience in manufacturing engineering, industrial engineering, Graduate Degree and minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience.
• Strong understanding and experience of the processes and procedures required to manufacture and assemble cables/harnesses, magnetics, electro/mechanical sub-assemblies, and systems.
• Familiarity and relevant experience operating in MRP and ERP systems
• Familiarity with product lifecycle management applications, such as Agile, and their integration with MRP systems
• Several years of experience in a manufacturing engineering environment with a proven track record of process improvement and project management.
• Experience with change management processes and the ability to adapt and manage system changes effectively.
• Knowledge of Lean Manufacturing Principles, Six Sigma, 8D Problem Solving, Root Cause Analysis, 5 Whys, and other continuous improvement methodologies.
• Proficiency in CAD software and other engineering tools.

Preferred Additional Skills:

• Ability to identify where AI or advanced analytics can reduce manual effort, improve data visibility, increase yield, or enhance process stability within manufacturing workflows.
• Familiarity with using AI‑assisted or data‑driven tools to automate repetitive engineering tasks such as data collection, routing updates, document creation, reporting, and production readiness checks.
• Working knowledge of databases and structured data (SQL, PostgreSQL, Microsoft SQL Server) to support AI‑driven insights or automated reporting solutions.
• Ability to translate manufacturing challenges into AI use cases by understanding process flows, failure modes, constraints, and key performance metrics.
• Experience experimenting with low‑code, no‑code, or lightweight scripting platforms (Python, JSON automation, Power Apps, VBA) to prototype digital or AI‑assisted solutions.
• Capability to evaluate AI tools and determine feasibility, expected ROI, data requirements, and integration points with systems such as MES, ERP, PLM, or CAD.
• Strong systems‑thinking approach, enabling the engineer to see how AI opportunities emerge from the interaction of processes, data pipelines, engineering standards, and production execution.

In compliance with pay transparency requirements, the salary range for this role in California is $84,000- $156,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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