Automation-Driven Advanced Manufacturing Engineer

Stored Energy Systems, LLC

Longmont (CO)

Hybrid

USD 103,000 - 146,000

Full time

6 days ago

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Benefits offered by this job

Free gym with 24/7 access

Free Electric Vehicle charging

Breakfast and Lunch Café

After hours Grab & Go snacks

Basketball court

Walking paths

Paid Time Off

Paid holidays

Medical insurance

Vision insurance

Short-term and long-term disability

Life insurance

401(k) plan with immediate vesting

Employee referral program

Job summary

Stored Energy Systems, LLC in Longmont, CO is seeking an experienced Advanced Manufacturing Engineer to identify, develop, and implement technologies that fundamentally improve how our products are built and how our factory operates. The role focuses on turning emerging manufacturing technologies into scalable production solutions that boost safety, productivity, quality, and operator effectiveness.

This execution-focused engineer turns opportunities into working production solutions by

Qualifications

Bachelor's degree in Electrical or Manufacturing Engineering or related field.
Ability to read electrical schematics, wiring diagrams, and BOMs.
Hands-on troubleshooting experience in a manufacturing environment.
Experience creating manufacturing documents such as work instructions and BOMs.

Responsibilities

Lead advanced manufacturing projects from concept through production implementation, including requirements development, technical evaluation, proof-of-concept, ROI, vendor selection, design, implementation, validation, and production handoff.
Develop and implement automation solutions for manufacturing and assembly processes, including robotics, collaborative robots, automated tooling and fixtures, machine vision, sensors, controls, and other production technologies.
Develop digital manufacturing and smart factory solutions that connect people, equipment, materials, and production systems, including automated data collection, digital Andon and material triggers, dashboards, system integration, and real-time production visibility.
Develop and implement technologies that improve material flow and operator effectiveness, including automated material handling, pick-to-light systems, digital replenishment, electronic Kanban, augmented reality, and other visual or digital production tools.
Evaluate, prototype, and apply emerging manufacturing technologies such as machine learning, predictive maintenance, IIoT, augmented reality, advanced sensing, autonomous material movement, and other technologies; rapidly prove concepts and scale successful solutions into production.