AI Infrastructure and Engineering Automation Lead
Hyve Solutions
@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
- 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 one or more of:
-
- 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
- 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
- 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
Vacancy posted 3 days ago
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