Manufacturing AI & Automation Engineer
Ichor Systems, Inc.
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Benefits offered by this job
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.
Skills
Education
Tools
Job description
The Manufacturing AI & Automation Engineer is responsible for identifying, developing, and implementing artificial intelligence, digital automation, and intelligent manufacturing solutions across production and engineering operations.
The Manufacturing AI & Automation Engineer is responsible for identifying, developing, and implementing artificial intelligence, digital automation, and intelligent manufacturing solutions across production and engineering operations.
This role will focus on using AI to eliminate manual and clerical work, improve access to manufacturing knowledge, accelerate process documentation, enable paperless factory initiatives, optimize manufacturing processes, and develop intelligent automation solutions for production operations.
The Manufacturing AI & Automation Engineer will design, build, and deploy intelligent applications using large language models, pre-trained foundation models, automation platforms, data pipelines, and manufacturing systems to automate workflows and solve complex operational problems.
Applications may include AI-assisted process documentation, intelligent document search and retrieval, automated engineering workflows, manufacturing knowledge management, process optimization, machining applications, automated inspection, production analytics, and factory automation.
The ideal candidate combines an understanding of manufacturing and engineering processes with practical experience applying AI and digital automation technologies to real-world problems.
- Identify and lead opportunities to apply artificial intelligence, 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 solutions that support the transition toward a paperless factory, including digital workflows, electronic records, intelligent documentation, and automated information retrieval.
- Use AI to create, improve, standardize, and maintain work instructions, manufacturing procedures, process documentation, standard work, and other technical content.
- Develop intelligent search and knowledge-management systems that allow employees to quickly locate and retrieve relevant procedures, specifications, drawings, engineering documents, historical information, and manufacturing knowledge.
- Apply large language models and foundation models to manufacturing workflows using tools such as Claude and other enterprise AI platforms.
- Develop AI-assisted workflows that connect manufacturing information across systems and reduce manual data entry, document creation, transcription, searching, and administrative work.
- Identify opportunities to integrate AI with manufacturing equipment, automation systems, inspection processes, machining operations, and production data.
- Evaluate and implement AI applications for machine optimization, process parameter optimization, predictive analytics, anomaly detection, automated inspection, computer vision, and quality control.
- Identify opportunities for robotic, software, and digital process automation throughout manufacturing operations.
- Develop applications, scripts, integrations, or automated workflows connecting AI tools with manufacturing and business systems.
- Evaluate existing manufacturing processes and determine where AI or automation can improve cycle time, productivity, quality, cost, capacity, decision-making, and employee efficiency.
- Work with manufacturing, quality, operations, IT, and engineering teams to translate business and production problems into practical AI solutions.
- Develop proof-of-concept solutions and transition successful concepts into reliable production tools.
- Establish methods to validate AI-generated information and ensure appropriate accuracy, traceability, security, and human oversight.
- Develop standards and best practices for responsible use of AI within manufacturing and engineering operations.
- Train engineers, technicians, manufacturing personnel, and other users on newly implemented AI and automation tools.
- Track the effectiveness of implemented solutions and quantify improvements in productivity, quality, cost, and process efficiency.
- Bachelor’s degree in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Systems Engineering, Computer Engineering, Computer Science, or a related technical discipline.
- 5–10 years of engineering experience in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Systems Engineering, Computer Engineering, Computer Science, or a related technical field, with a strong focus on automation and digital technologies and demonstrated experience applying AI and data-driven solutions to manufacturing, engineering, or operational environments.
- Experience applying artificial intelligence, large language models (LLMs), digital automation, or intelligent workflow technologies to practical engineering or business challenges.
- Strong understanding of manufacturing, engineering, operations, and industrial processes, with the ability to identify opportunities for process improvement and automation.
- Experience evaluating manual or inefficient workflows and developing scalable automated or digital solutions.
- Ability to translate manufacturing and operational requirements into effective technical solutions and bridge communication between engineering, manufacturing, operations, quality, and IT teams.
- Experience working with structured and unstructured data, technical documentation, and enterprise information systems.
- Strong analytical and structured problem-solving skills, with the ability to evaluate emerging technologies and identify practical, high-value applications.
- Demonstrated ability to independently lead technical projects from opportunity identification and concept development through prototyping, implementation, validation, and adoption.
- Understanding of data quality, information security, traceability, validation, and human oversight when implementing AI and automation solutions.
- Ability to evaluate and quantify the operational and business impact of AI, automation, and process-improvement initiatives.
- Strong written and verbal communication skills with the ability to communicate technical concepts effectively across technical and non-technical teams.
- Experience using Claude or other enterprise AI platforms in professional or manufacturing applications.
- Experience developing solutions using LLMs, foundation models, retrieval-augmented generation (RAG), AI agents, APIs, or enterprise AI platforms.
- Proficiency with Python, SQL, APIs, scripting, or low-code/no-code automation platforms.
- Experience integrating AI or automation solutions with MES, ERP, QMS, PLM, document management, or other manufacturing systems.
- Experience leading manufacturing workflow automation, digital transformation, paperless manufacturing, or digital work-instruction initiatives.
- Experience applying AI, machine learning, data analytics, or computer vision to manufacturing processes, inspection, equipment performance, or process optimization.
- Experience with machining, CNC processes, robotics, industrial automation, machine connectivity, or smart manufacturing technologies.
- Familiarity with Lean manufacturing, Six Sigma, continuous improvement, or process optimization methodologies.
- Experience deploying AI solutions within enterprise environments involving sensitive, proprietary, or controlled technical information.
Ichor is an experienced leader in the critical subsystems and turnkey process equipment marketplace. Our capabilities enable the design and creation of a complete outsourced solution ranging from product concept to turnkey manufacturing to legacy service.
Ichor offers world-class process engineering, value added manufacturing, materials management and testing capabilities. Our 1500+ employees are strategically located to provide our customers with the highest level of customer service and support from our program management, sales, engineering, and executive management teams.
Our continued expansion of capabilities in South East Asia better aligns our production facilities with our customers' supply chain strategies. This further enables our expansion into new products and markets.
Ichor is headquartered in Fremont, California with manufacturing locations in Oregon, Texas, Singapore, Malaysia and the UK. Our sales and engineering office is strategically located in Silicon Valley, California.
Ichor is the experienced leader in the critical subsystems and turnkey process equipment marketplace. Our capabilities enable the design and creation of a complete outsourced solution ranging from product concept to manufacturing to legacy service. Ichor offers world-class process engineering, manufacturing, materials management, and testing capabilities. Our 1,400+ employees worldwide are strategically located to provide our customers with the highest level of customer service and support from our program management, sales, engineering, and executive management teams. We have a friendly, business-oriented environment and offer a comprehensive benefits plan that includes, medical, dental, vision, health savings account, paid time off, life insurance, short term disability and 401K with generous employer match.
Ichor Systems provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Ichor Systems will provide reasonable accommodations for qualified individuals with disabilities.
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