AI Infrastructure and Engineering Automation Lead

Hyve Solutions; Bend (OR); On-site; USD 125,000 - 175,000; Full time

Job summary

Hyve Solutions in Bend, Oregon is seeking an AI Engineer to research and deploy AI-driven engineering and manufacturing tools. The ideal candidate will have extensive experience in AI/ML and software engineering.

In this role, you will identify opportunities for AI to enhance engineering productivity and quality. Responsibilities include collaborating with various teams to automate workflows and integrating AI technology into existing systems.

Compensation ranges from $125K to $175K, depending on experience.

Qualifications

• 5–10+ years in AI/ML, applied research, or software engineering.
• Strong understanding of AI technologies and workflows.
• Experience with AI automation tools and environments.

Responsibilities

• Research, evaluate, and deploy AI-driven tools in engineering.
• Collaborate across teams to integrate AI workflows.
• Help define long-term AI automation strategy.

Skills

AI/ML expertise

Automation tools development

Software development

Scripting skills

Systems thinking

Cross-functional collaboration

Tools

AI frameworks

APIs

Orchestration tools

Job description

@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources and technology solutions.

Key Responsibilities

• Research, evaluate, prototype, and deploy AI-driven engineering and manufacturing tools across the organization
• Identify opportunities where AI can improve:
  • engineering productivity
  • product development speed
  • architecture development
  • design validation
  • manufacturing quality
  • customer response workflows
  • operational efficiency
  • Develop AI-assisted workflows for infrastructure and hardware engineering including:
    • automated specification analysis
    • design rule extraction and checking
    • board and platform design automation
    • power and thermal analysis assistance
    • architecture document generation
    • validation automation
    • configuration analysis
• Work with platform, board, power, thermal, SI/PI, and systems architects to help automate interpretation and application of large vendor specification packages and design rules
• Explore AI solutions for:
  • manufacturing inspection
  • defect detection
  • quality analysis
  • telemetry analytics
  • failure prediction
  • operational optimization
• Evaluate emerging AI tooling ecosystems, models, and infrastructure platforms relevant to engineering and manufacturing environments
• Build proof-of-concepts and pilot programs demonstrating measurable engineering or operational efficiency gains
• Collaborate across architecture, engineering, manufacturing, operations, and IT organizations to integrate AI-enabled workflows
• Help define long‑term AI tooling and automation strategy for the CTO organization
• Support internal AI tooling infrastructure including data pipelines, workflow orchestration, and engineering integrations where applicable

Qualifications

• 5–10+ years in AI/ML, applied research, software engineering, infrastructure automation, or related technical fields
• Strong understanding of modern AI and LLM technologies and practical application of AI workflows
• Experience developing automation tools, AI pipelines, or engineering productivity solutions
• Familiarity with:
  • infrastructure engineering
  • hardware development
  • manufacturing systems
  • validation workflows
  • telemetry systems
  • operations analytics
• Strong software development and scripting skills
• Experience with AI frameworks, APIs, orchestration tools, or model integration workflows
• Strong problem‑solving and systems‑thinking capability
• Ability to work cross‑functionally with engineering and architecture teams

Preferred Experience

• Experience applying AI to hardware engineering or manufacturing environments
• Familiarity with PCB/platform development workflows
• Experience with computer vision or manufacturing inspection systems
• Understanding of datacenter infrastructure, AI systems, or server platform development
• Experience working with large technical document sets, specifications, or structured engineering data
• Familiarity with retrieval‑augmented generation (RAG), agentic workflows, and engineering knowledge systems

Join Hyve Solutions

• Help define how AI transforms infrastructure engineering and manufacturing workflows
• Work directly with architecture, engineering, manufacturing, and operations teams
• Develop practical AI systems with direct measurable impact on engineering productivity and quality
• Influence next‑generation AI‑enabled infrastructure development methodologies
• Operate at the intersection of AI, hardware engineering, manufacturing, and automation

Compensation: 125K to 175K

@ HYVE Solutions, we believe employees are our greatest asset and we empower them to make a difference in our business. Diversity and inclusion make us all better. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.