• Collaborate with supply chain leads and technical teams to implement solutions for identified process and quality improvement opportunities. • Explore emerging technologies and benchmark industry practices for supply chain advancement. • Define material inspection methodologies and create plans to optimize supply chain and logistics processes. • Monitor supply and demand trends, conduct root cause analyses, and recommend improvements to enhance efficiency and quality. • Drive supplier performance improvements by establishing control standards, determining KPIs, and conducting regular performance evaluations. • Manage quality excursions, lead failure mode analyses, and develop specifications that minimize variability and align with operational requirements.

• Develop and implement supply chain strategies to enhance operational efficiency and quality standards. • Benchmark and explore emerging technologies to drive innovation within Intel's supply chain. • Support product development by defining next-generation methodology capabilities aligned with Intel's supply chain roadmap. • Establish control standards, define KPIs, and monitor supplier performance against targets. • Drive supplier process window validation activities on critical process modules throughout development stages. • Lead supplier improvements on quality, reliability, yield, and cost through close collaboration. • Maintain quality systems and standards, creating relevant specifications to minimize variability and ensure operational alignment. • Lead quality excursion management and failure mode analysis with suppliers to resolve issues effectively.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role provides the opportunity to lead and execute instrumentation and control (I&C) engineering projects for the modernization and upgrade of nuclear power plants. The Lead Engineer will oversee both small- and large-scale projects, coordinating with mechanical, electrical, and structural teams to ensure technical execution and timely delivery. - Lead and support I&C engineering projects, including system design, upgrades, and digital modernization efforts. - Develop digital system designs for PLC, DCS, HSI, and networked computer systems. - Prepare control system functional and implementation requirements, procurement specifications, and technical reports. - Interface with clients and vendors to ensure project execution, compliance, and satisfaction. - Manage resources, task estimates, and budgets, ensuring on-time project delivery. - Review diagrams, drawings, and vendor bids, and witness FAT performance as needed. - Support project implementation and oversee troubleshooting and resolution of control system issues. Qualifications - BS or MS in Electrical, Mechanical, Chemical, or Nuclear Engineering from an ABET-accredited program. - 10+ years of experience designing and implementing instrumentation and control systems for commercial or industrial applications. - Professional Engineering (PE) license preferred. - Strong technical knowledge of control systems, digital platforms, and pre-engineered solutions. - Experience leading engineering teams and serving as a client liaison. - Proficiency in reviewing technical documentation and preparing reports. - Excellent verbal and written communication, problem-solving, and analytical skills. Benefits - Competitive salary range: $116,620 – $179,890. - Comprehensive health, dental, and vision coverage. - Life, accident, and disability insurance, and Employee Assistance Program (EAP). - 401(k) plan with company matching, FSA & HSA options. - Paid vacation, holidays, personal/sick time, parental leave, and bereavement leave. - Tuition assistance, first professional licensure bonus, employee discounts, and referral bonuses. - Flexible work arrangements and back-up daycare support. - Recognition as a Top Workplace with award-winning employee culture. Company Description

Job Title: Ontology Engineer Location: Remote Who We Are NWEA® is a division of HMH that supports students and educators through research, assessment solutions, policy and advocacy services, professional learning and school improvement services that fight for equity, drive classroom impact and push for systemic change in our educational communities. For nearly 50 years, NWEA has developed innovative pre-K–12 assessments, including their flagship interim assessment, MAP® Growth™ and their reading fluency and comprehension assessment, MAP® Reading Fluency™. For more information, visit NWEA.org to learn more. What You’ll Do The Ontology Engineer plays a pivotal role in shaping our organization's knowledge structure. They are responsible for developing and managing ontologies that underpin our information systems, facilitating better data organization and knowledge discovery. Responsibilities - Develops and maintains logical, semantically rich, and extensible ontologies that define and structure knowledge and underpin the K-12 education domain and HMH products. - Supports integration between the ontology management system and source data management repositories, including triple store development and investigation by writing SPARQL queries against RDF, OWL or validating with SHACL. - Ensures the accuracy and consistency of ontological structures by performing regular quality checks and updates as needed. - Collaborates with cross-functional teams to understand their information needs and provide ontological solutions that support their objectives. - Creates comprehensive documentation for ontologies and knowledge graphs, making them accessible to both technical and non-technical stakeholders. - Coordinates with the Data engineering and operations, and content development teams to ensure the knowledge representation is aligned with enterprise data systems. What You’ll Need - Advanced degree in philosophy, computer science, information science, or quantitative field, or equivalent experience. - Proficiency in ontology modeling languages such as RDF, OWL, or SHACL and vocabularies such as SKOS. - Demonstrate advanced knowledge of ontology modeling languages such as RDF, OWL, or SHACL, and vocabularies like SKOS. - Familiarity with query languages like SQL and SPARQL or other property graph query languages like Gremlin, openCypher. - Experience with semantic data integration and using graph databases/triplestores, including modeling tradeoffs, query optimization, and operational considerations for production use. - Experience with ontologies, knowledge graphs, and/or semantic technologies such as Stardog, Protégé, Semaphore, PoolParty, or related ontology management systems. - Experience using foundational/top-level ontologies, especially Basic Formal Ontology (BFO), Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE), Common Core Ontologies, or OBO Foundry. - Experience integrating multiple disparate data sets into a common vocabulary and writing effective queries for use in a production environment. - Be skilled in integrating multiple disparate data sets into a common vocabulary and writing effective queries for production environments. - Hands-on experience with high-level programming and scripting languages, such as Python, R, and Java. - Strong software engineering practices applied to semantic and analytics assets: git, pull requests/code review, test/validation practices (e.g., SHACL/dbt tests where applicable), and CI/CD-aware release discipline. - Excellent problem-solving skills and easily adapt to new technologies, trends, and frameworks. Salary range: 90k – 103k annually.  Application Deadline: The application window for this position is anticipated to close March 15, 2025. We encourage you to apply as soon as possible. The posting may be available after this date but is not guaranteed. HMH is fully committed to Equal Employment Opportunity and to attracting, retaining, developing and promoting the most qualified employees without regard to race, gender, color, religion, sexual orientation, family status, marital status, pregnancy, gender identity, ethnic/national origin, ancestry, age, disability, military status, genetic predisposition, citizenship status, status as a disabled veteran, recently separated veteran, Armed Forces service medal veteran, other covered veteran, or any other characteristic protected by federal, state or local law. We are dedicated to providing a work environment free from discrimination and harassment, and where employees are treated with respect and dignity. We actively participate in E-Verify. #LI-VA1