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Job description
Provide clear leadership and accountability to the infrastructure, process engineering, and test engineering teams. Drive operational excellence projects to reduce cycle times and improve process reliability, process flow, productivity, quality, and cost.
Resolve escalated issues arising from operations and coordinate cross-functionally with other departments. Provide resource/labor and production capacity analysis. Evaluate and approve manufacturing infrastructure needs and cost.
Minimum of 5 years work experience in manufacturing engineering management role. In-depth product manufacturing comprehension including rationales and limitations. Expert working knowledge of manufacturing systems.
Company
Tech, Software & IT Services • Healthcare • Education
MindHYVE.ai develops domain‑specific AI operating systems that embed structured, auditable reasoning workflows for regulated professions such as healthcare, education, law, and theology. Leveraging its Eve‑Fusion™ compositional fabric of multiple reasoning models and the Azure‑native Eve‑Grid™ infrastructure, the company delivers compliant solutions (HIPAA, FERPA, COPPA, GDPR) that provide the same level of analytical rigor previously confined to elite institutions. Its product suite includes nine live operating systems—ArthurAI for educators, ChironAI for clinicians, JustineAI for legal practitioners, TheoAI for theological scholarship, among others—with additional offerings in development. MindHYVE.ai’s value proposition centers on democratizing high‑quality AI reasoning, enabling practitioners worldwide to access elite decision‑support capabilities without the need for proprietary AI development. Operating from offices in Newport Beach, Islamabad, and Nairobi, the firm supports active deployments across more than 15 countries, partnering with universities, school systems, hospitals, regulatory bodies, and community organizations to extend AI infrastructure to markets underserved by traditional labs.
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