AI-Driven Manufacturing & Automation Engineer

Ichor Systems, Inc.

Portland (OR)

On-site

USD 120,000 - 170,000

Full time

10 days ago

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Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

401K with employer match

Paid time off

Job summary

Ichor Systems seeks a Manufacturing AI & Automation Engineer to identify, develop, and deploy AI-powered automation across production and engineering operations in Oregon. The role emphasizes eliminating manual work, accelerating documentation, enabling paperless workflows, and improving process efficiency with AI-enabled tools and data pipelines.

The ideal candidate has a strong manufacturing/engineering background and hands-on experience applying AI and automation to real-world problems,

Qualifications

Bachelor’s degree in a technical discipline related to manufacturing engineering, systems engineering, or computer science.
5–10 years of engineering experience with automation and digital technologies and applying AI/data-driven solutions to manufacturing or operations.
Experience applying AI, LLMs, digital automation, or intelligent workflow technologies to real-world challenges.
Strong understanding of manufacturing and engineering processes and ability to identify optimization opportunities.
Ability to translate requirements into technical solutions and collaborate across cross-functional teams.
Experience with structured and unstructured data and enterprise information systems.
Strong analytical and structured problem-solving skills with ability to evaluate new technologies.

Responsibilities

Identify opportunities to apply AI, digital automation, and intelligent systems across manufacturing and engineering operations.
Develop AI-enabled tools to automate repetitive engineering, manufacturing, quality, and clerical documentation activities.
Develop paperless factory workflows, digital records, intelligent documentation, and automated information retrieval.
Create and maintain work instructions, procedures, and other technical content using AI.
Build intelligent search/knowledge-management to retrieve procedures, drawings, and historical data.
Apply LLMs and foundation models to manufacturing workflows using enterprise AI platforms.
Develop AI-assisted workflows that reduce manual data entry and paperwork across systems.
Integrate AI with manufacturing equipment, automation, inspection, and production data.
Evaluate AI apps for machine optimization, predictive analytics, anomalies, and quality control.
Identify opportunities for robotic/software/digital automation across operations.
Develop scripts/integrations connecting AI tools with manufacturing/business systems.
Assess manufacturing processes for improvements in cycle time, productivity, quality, and cost.
Collaborate with cross-functional teams to translate problems into AI solutions.
Develop proof-of-concept solutions and transition to production tools.
Establish methods to validate AI-generated information with appropriate oversight.
Develop standards for responsible AI use in manufacturing.
Train engineers and staff on new AI/automation tools.
Track improvements in productivity, quality, cost, and efficiency.