Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Staff Mechanical Engineer – Global Facilities

Senior Mechanical Engineer – Global Facilities

Forward Deployed AI Strategist

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: <ul><li>Develop new procedures and Best Known Methods (BKMs) to service new products. Contribute to the FMECA process.&nbsp;&nbsp;</li><li>Participate in or own first chamber Build &amp; Test in Apps lab. Solve issues, or work with Engineering to address issues identified.&nbsp;</li><li>Work with Manufacturing to develop procedures and participate (if required) on New Product final test</li><li>Partner with Quality &amp; Reliability (Q&amp;R) group to review and address Top Field Issues. Participate in or own CAPA process. Conduct or facilitate Failure Analysis (FA) if needed</li><li>Develop and document procedures to install (start-up), retrofit and maintain the product (Technical Product Manuals)</li><li>Develop new procedures, Customer Engineering Notices (CENs), Internal Service Bulletins (ISBs) and troubleshooting guides as required</li><li>Collect process and qualification data to create product Best Known Methods (BKMs)</li><li>Develop initial training package for new products and work with Global Technical Training (GTT) to develop training class. Train Customer Engineers (CEs), Process Engineers (PSEs) and Technical Product Support (TPS) assigned to customers who will receive ELS Shipments, prior to shipping</li><li>Identify new parts that require to be stocked by AGS and work with them to ensure parts are stocked in correct locations</li></ul> Requirements: <ul><li>More than 5 years of relevant equipment experiences in the semiconductor industry</li><li>Strong understanding of Vacuum chambers used in PVD or CVD, wet cleans products as well as hands-on skills in Electro mechanical semiconductor assemblies</li><li>Excellent communication and interpersonal skills</li><li>Confident in liaising with internal and external stakeholders of various seniorities</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsibilities: <ul><li>Lead UPW/WWT system design for construction projects across the region</li><li>Drive alignment of O&amp;M practices across all sites</li><li>Lead cross-functional teams to improve reliability and reduce variation</li><li>Review and optimize PM and predictive maintenance programs</li><li>Provide technical leadership during system failures or major incidents</li><li>Conduct hydraulic and hydrologic analyses using engineering software.</li><li>Review and approve technical deliverables to ensure accuracy and quality.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Chemical/Mechanical Engineering or equivalent</li><li>10–12+ years of UPW/WWT engineering experience</li><li>Must Have Technical Skills</li><li>Deep expertise in UPW/WWT system design and operations</li><li>Strong capability in SPC, reliability engineering, and process optimization</li><li>Experience in large-scale facility systems and construction integration</li><li>Performance benchmarking and data-driven decision making</li></ul>

Responsibilities: <ul><li>Lead global standardization of Chemical and Slurry systems across manufacturing sites.</li><li>Act as Subject Matter Expert guiding engineering decisions and system architecture.</li><li>Drive technology roadmaps and long-term system strategies.</li><li>Lead design reviews, risk assessments, and engineering validation activities.</li><li>Provide technical oversight for complex facilities expansion projects.</li><li>Collaborate across global teams to ensure alignment and execution excellence.</li></ul> Requirements: <ul><li>Bachelor’s Degree in relevant engineering discipline.</li><li>Minimum 15+ years of semiconductor/facilities experience.</li><li>Advanced expertise in Chemical systems design and operation.</li><li>Strong background in slurry delivery, chemical distribution, and safety compliance.</li><li>Experience in system integration, process optimization, and reliability engineering.</li><li>Knowledge of construction and project lifecycle management.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul>

Responsibilities: <ul><li>Act as a Subject Matter Expert (SME) for electrical systems across global facilities.</li><li>Develop and govern global engineering standards, specifications, and BKMs.</li><li>Lead design reviews, ensuring alignment with global requirements and best practices.</li><li>Drive improvements in system reliability, cost efficiency, and maintainability.</li><li>Support large-scale design and construction projects globally.</li><li>Conduct system studies, capacity analysis, and performance evaluations.</li><li>Collaborate with cross-functional stakeholders to align engineering solutions.</li></ul> Other Responsibilities: <ul><li>Lead root cause analysis for major system issues.</li><li>Mentor junior engineers and guide technical development.</li><li>Support sustainability and energy optimization initiatives.</li></ul> AI Responsibilities <ul><li>Leverage AI tools to enhance data analysis, predictive maintenance, and engineering insights.</li><li>Promote adoption of AI-enabled solutions within engineering workflows.</li></ul> Requirements: Minimum Required Qualifications/Experience: <ul><li>Bachelor’s Degree in Electrical Engineering or equivalent.</li><li>10–13 years of relevant experience in semiconductor or industrial facilities.</li></ul> Must Have Technical Skills: <ul><li>Strong expertise in electrical distribution systems (HV/MV/LV).</li><li>Experience with critical systems (UPS, generators, sag mitigation).</li><li>Proficiency in system modeling, analysis, and reliability engineering.</li><li>Experience in design review and construction project support.</li></ul> Must Have Soft Skills: <ul><li>Strong leadership and influencing skills.</li><li>Excellent communication and stakeholder management.</li><li>Ability to prioritize and drive multiple initiatives concurrently.</li><li>Strategic problem-solving capability.</li><li>AI Requirements</li><li>Ability to leverage AI tools for engineering analysis, operational improvements, and reporting.</li><li>Highly Desirable / Preferred</li><li>Experience leading regional/global engineering initiatives.</li><li>Knowledge of sustainability programs and green infrastructure.</li><li>Professional Engineer (PE) certification or equivalent.</li></ul>

Responsibilities: Project Leadership <ul><li>Lead design and execution of regional construction and expansion projects</li><li>Review and approve site capital expenditures for capacity and sustainability initiatives</li><li>Ensure alignment with global facility standards and sustainability goals</li></ul> Reliability and Continuous Improvement <ul><li>Lead system reliability programs, including quality improvements and equipment lifecycle replacements</li><li>Drive implementation of preventive and predictive maintenance frameworks</li><li>Standardize reliability practices across sites such as SPC, MOC, and 8D</li></ul> Strategy and Governance <ul><li>Prioritize facility improvement investments based on business needs</li><li>Support major engineering reviews such as SIPP</li><li>Align programs including business continuity, quality systems, and critical specifications</li><li>Cross-functional Leadership</li><li>Collaborate with global teams including construction, planning, engineering, and operations</li><li>Provide technical consultation to resolve complex issues</li><li>Mentor and guide junior engineers</li></ul> Requirements: <ul><li>Bachelor’s Degree in Mechanical Engineering or related field</li><li>8 or more years of facility engineering experience</li><li>Expertise in mechanical systems design and operations</li><li>Experience in construction execution and capital project management</li><li>Knowledge of reliability engineering and system optimization</li></ul>

Responsibilities: Project and Engineering Support <ul><li>Support design and construction of facility mechanical systems for site projects and expansions</li><li>Contribute to sustainability and technology transfer initiatives (Alpha to Beta)</li><li>Review and support approval of facility-related capital expenditure projects</li><li>Collaborate with central engineering, construction, and planning teams</li></ul> Reliability and Operations <ul><li>Support system reliability improvement projects, including quality improvements and end-of-life replacements</li><li>Participate in root cause analysis and failure investigations</li><li>Contribute to preventive and predictive maintenance programs</li><li>Analyze system and equipment performance and recommend improvements</li></ul> Collaboration and Communication <ul><li>Work closely with site engineering and operations teams on system performance</li><li>Support cross-functional initiatives such as business continuity, quality improvement, and safety programs</li><li>Share lessons learned and best practices across sites</li></ul> Requirements: <ul><li>Bachelor’s Degree in Mechanical Engineering or related field</li><li>5 to 8 years of facility engineering experience</li><li>Mechanical systems design and operations</li><li>Understanding of reliability engineering and maintenance strategies</li><li>Experience with SPC, root cause analysis, or system improvement</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

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208 quantum computer engineer Jobs found

Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Staff Mechanical Engineer – Global Facilities

Senior Mechanical Engineer – Global Facilities

Forward Deployed AI Strategist

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Skills

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208 quantum computer engineer Jobs found

Consultant, Data Analytics & Reporting-Food

GPS (Global Product Support) Engineer

Hybrid Bonding Technology Development Engineer

Staff Water Engineer

Staff Engineer – Chemical & Slurry Systems (Global Facilities Engineering)

Staff Electrical Engineer (Global Facilities Engineering)

Staff Engineer, Electrical – Global Facilities Engineering

Staff Mechanical Engineer – Global Facilities

Senior Mechanical Engineer – Global Facilities

Forward Deployed AI Strategist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

EMPLOYER

TALENT

COMPANY

Contact Us

JOBS BY SKILLS

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.