AI Manufacturing Engineer

Location: Pittsburgh, Pennsylvania, United States

Company

hirify.global is a global technology company delivering illumination, optical, detection, and imaging solutions for biomedical, semiconductor, industrial, scientific, security, defense, and aerospace applications.

What you will do

• Partner with operations, engineering, quality, and supply chain teams to identify and prioritize high-value AI opportunities.
• Lead or support AI-enabled process improvement projects from initial concept through pilot and scaling.
• Use Grok Build, Codex, and similar AI platforms to digitize manual processes, automate repetitive work, build prototypes, and create reports or dashboards.
• Analyze operational data to identify trends and improvement opportunities, then provide recommendations to leadership and process owners.
• Define project scope, success metrics, and implementation plans while managing cross-functional stakeholder expectations.
• Document solutions, create user guides and training materials, support change management, and collaborate with IT and compliance on security and regulatory requirements.

Requirements

• Bachelor’s degree in Industrial, Manufacturing, Mechanical Engineering, Computer Information Systems, or an equivalent field.
• 5+ years of experience in an operations systems-focused environment.
• Strong understanding of manufacturing or operations processes; semiconductor, electronics, or complex discrete manufacturing experience is preferred.
• Demonstrated experience applying AI tools to process digitization, data analysis, repetitive-task automation, or decision support.
• Hands-on experience with modern AI platforms and coding assistants such as Grok Build, Codex, or GitHub Copilot.
• Strong analytical, communication, and stakeholder-influence skills, with practical experience using Excel, Power BI, or equivalent tools.

Nice to have

• Experience with MES, ERP systems such as SAP or Dynamics, or related manufacturing systems.
• Background in continuous improvement, Lean, or process excellence.
• Familiarity with low-code/no-code tools, rapid prototyping, digital transformation, or operations automation.

Culture & Benefits

• Work in a global technology organization focused on photonic innovation and operational results.
• Collaborate across operations, engineering, quality, supply chain, IT, and compliance functions.
• Build practical AI solutions that deliver measurable improvements rather than theoretical models.
• The role involves information subject to International Traffic in Arms Regulations (ITAR).
• Visa sponsorship is not available.