Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Customer Service Representative

Technical Director, Advanced Packaging Integration

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

Roe Description: <ul><li>Transportation Solutions BU makes products for Connecting and Sensing Data, Power and Signal for vehicles ranging from Two wheelers to Heavy Commercial trucks.</li><li>There is a clear business strategy till 2025 to support the business growth. The growth is driven mainly driven from localization of Core India Specific products and also New technology products.</li><li>To establish “Single source of Truth” by integrating and maintaining all Key performance metrics of SCM/CS LIVE through Tableau/Power BI</li><li>To define the Capacity/Demand ratio for each part at each source location and make a trigger mechanism for new capacity&nbsp;</li><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS)</li></ul> Responsibilities: Capacity/Demand ratio: <ul><li>Establish the C/D ratio of each part in each source plant and work with Planner for getting enhanced capacity as per demand.</li><li>Also work with Demand team and Sales &amp; Marketing to get validated 24 months forecast</li></ul> Supply Network Optimization: <ul><li>To optimize the supply network by exploring opportunities to increase sea vs Air movement from Source country to India Warehouse and also exploring clubbing opportunities at Source.&nbsp;</li><li>Need to closely work with SCM team and Global Logistics team for integrated results.</li></ul> Monitor ageing stock and orders: <ul><li>To continuously monitor the ageing stock (SCM) and ageing orders (CS) and work with CS/SCM/sales &amp; marketing to liquidate those stocks/orders.</li></ul> Analytics: <ul><li>Work with application and product marketing and managing alternate part master.</li></ul> Requirements:&nbsp; <ul><li>MBA in Supply Chain&nbsp;</li><li>Expertise in Excel</li><li>Understanding of Tableau/Power BI</li><li>Understanding in SAP IBP</li><li>2 to 5 years of experience Handling large scale transformational SCM projects like SAP IBP/APO.</li><li>Extensive exposure to Excel/Macros.</li><li>Experience in Plant production planning.</li><li>SAP IBP - Conduct the IBP execution starting from demand review, supply review and integrated reconciliation</li><li>Strategic agility - Long Term capacity planning.</li><li>Supply network planning - Supply Network optimization by choosing the right network (Factory - SKU’s – Depot) based on the minimum total delivered cost (Freight Cost, Conversion Cost, Raw material cost and Tax benefit).</li><li>Frequency from factory to warehouse).</li><li>Ability to understand customer requirements.</li><li>Stakeholder alignment - Developing relationships and partnerships with key customers, industry leaders and core suppliers.</li></ul>

Role Description: <ul><li>The AI Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

﻿Responsibilities: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Administer and support enterprise VDI platforms including Omnissa Horizon, VMware ESXi, Citrix, and Nutanix environments.</li><li>Perform daily monitoring, maintenance, and operational support for VDI infrastructure and virtual desktop services.</li><li>Support endpoint management platforms including Microsoft Intune and Microsoft Endpoint Configuration Manager (MECM/SCCM).</li><li>Assist with device provisioning, software deployment, operating system patching, and endpoint compliance activities.</li><li>Support endpoint security technologies including Microsoft Defender for Endpoint and Trellix Endpoint Security.</li><li>Investigate, troubleshoot, and resolve VDI, endpoint, and endpoint security incidents.</li><li>Perform root cause analysis and support service restoration activities for production incidents.</li><li>Support platform upgrades, patching, maintenance windows, and technology refresh initiatives.</li><li>Monitor platform health, identify issues proactively, and escalate complex issues where required.</li><li>Maintain operational documentation, technical procedures, and support records.</li><li>Collaborate with infrastructure, network, security, and application support teams on issue resolution and platform improvements.</li><li>Participate in after-hours support and maintenance activities when required.</li></ul> Requirements: <ul><li>3-7 years of experience in End User Computing (EUC), VDI, or Endpoint Infrastructure support.</li><li>Hands-on experience supporting:&nbsp;</li><li>Omnissa Horizon / VMware Horizon</li><li>VMware ESXi and vCenter</li><li>Microsoft Intune</li><li>Microsoft Endpoint Configuration Manager (MECM/SCCM)</li><li>Microsoft Defender for Endpoint</li><li>Experience supporting enterprise-scale VDI environments.</li><li>Strong troubleshooting skills across virtual desktop and endpoint platforms.</li><li>Experience supporting production environments and incident management activities.</li><li>Good understanding of endpoint lifecycle management, software deployment, and patch management.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>

Role Description: <ul><li>This position is in a fast-paced business environment for B2B customer support team, where in you will handle escalated customer care issues either through direct personal action or by escalating to the proper individual/department.</li><li>You will need to Coordinate with resources for the resolution of system related problems and provide specific feedback to other departments to aid all open issues.</li><li>This responsibility includes collaboration between both on site and virtual resources as necessary. You will also partner on the process improvement projects, developing training material, reports and lead implementation as necessary.</li></ul>&nbsp;Responsibilities:&nbsp;<ul><li>Order Management - Will handle import, exports and local customer’s, Sales order and planning process, i.e. order entry, daily schedule review, shipment processing, invoicing &amp; logistics coordination.</li><li>Commercial Management: maintaining price lists &amp; quotations of all accounts.</li><li>Sales Management: forecasting, pipeline analysis &amp; mapping sales performance.</li><li>Project management: Participate effectively in quality improvement projects and promote co-operative effort between all departments and internal customers.</li><li>Customer visits: leading harness makers to give necessary support where required including forecast fluctuation, shortage / expedition order support, returns, credit/debit &amp; Account Receivable&nbsp;</li><li>Management Reports: To support SCM &amp; demand controllers in collating information regarding orders, deliveries, fluctuation/shortages/increase in demand.</li><li>Stake holder management: To coordinate with global and local functions &amp; Support the manager &amp; Sales in activities to ensure an enhanced customer experience. This includes but is not limited to projects and tasks to enhance the order management &amp; fulfillment process, end to end alignment within cross functions to impart better customer service to stake holders</li><li>Situation handling: Evaluates situations that impact operations and decide level of support and response required.</li></ul> Requirements&nbsp; <ul><li>Any Graduate degree</li><li>3+ years of experience</li><li>Working experience in SAP &amp; MS office</li><li>Extensive transactional working experience in manufacturing industry under CS / Supply chain.</li><li>Experience of effective collaboration in multiple regional teams set up &amp; stake holder management</li><li>Previous experience from automotive / service industry preferred.</li></ul>

Role Description: <ul><li>This position is in a fast-paced business environment for B2B customer support team, where in you will handle escalated customer care issues either through direct personal action or by escalating to the proper individual/department.</li><li>You will need to Coordinate with resources for the resolution of system related problems and provide specific feedback to other departments to aid all open issues.</li><li>This responsibility includes collaboration between both on site and virtual resources as necessary. You will also partner on the process improvement projects, developing training material, reports and lead implementation as necessary.</li></ul>&nbsp;Responsibilities:&nbsp;<ul><li>Order Management - Will handle import, exports and local customer’s, Sales order and planning process, i.e. order entry, daily schedule review, shipment processing, invoicing &amp; logistics coordination.</li><li>Commercial Management: maintaining price lists &amp; quotations of all accounts.</li><li>Sales Management: forecasting, pipeline analysis &amp; mapping sales performance.</li><li>Project management: Participate effectively in quality improvement projects and promote co-operative effort between all departments and internal customers.</li><li>Customer visits: leading harness makers to give necessary support where required including forecast fluctuation, shortage / expedition order support, returns, credit/debit &amp; Account Receivable&nbsp;</li><li>Management Reports: To support SCM &amp; demand controllers in collating information regarding orders, deliveries, fluctuation/shortages/increase in demand.</li><li>Stake holder management: To coordinate with global and local functions &amp; Support the manager &amp; Sales in activities to ensure an enhanced customer experience. This includes but is not limited to projects and tasks to enhance the order management &amp; fulfillment process, end to end alignment within cross functions to impart better customer service to stake holders</li><li>Situation handling: Evaluates situations that impact operations and decide level of support and response required.</li></ul> Requirements:&nbsp;<ul><li>Any Graduate degree</li><li>3+ years of experience</li><li>Working experience in SAP &amp; MS office</li><li>Extensive transactional working experience in manufacturing industry under CS / Supply chain.</li><li>Experience of effective collaboration in multiple regional teams set up &amp; stake holder management</li><li>Previous experience from automotive / service industry preferred.</li></ul>

Responsibilities: <ul><li>Lead cross-functional efforts to develop and enable next-generation 2.xD packaging concepts, architectures, and technologies</li><li>Define, document, and implement end-to-end process flows for panel-level packaging technologies</li><li>Lead material selection, characterization, and compatibility assessments for large form factor substrates</li><li>Partner with customers to define and align process specifications and acceptance criteria</li><li>Collaborate with business units on process development (lithography, etch, thin films, etc.), module co-optimization, and technology transfer to customers</li><li>Contribute to our client equipment product strategy by providing feedback to business unit leaders on process and hardware enhancements required to meet customer roadmaps</li><li>Analyze process data to identify trends, drive optimization, and improve performance</li><li>Conduct root-cause analyses of defects and implement corrective actions to improve yield and reliability</li><li>Within established safety guidelines, design and execute complex engineering experiments; collect and analyze data; and deliver rigorous reports with innovative, practical solutions</li><li>Publish and present technical findings at leading industry conferences and in peer-reviewed journals</li><li>Mentor and guide early-career engineers; provide technical direction and best practices</li></ul> Requirements: <ul><li>Master’s degree with 10 years or PhD degree with 5 years of experience in Electrical Engineering, Materials Science, Chemical Engineering, or related field</li><li>In-depth knowledge and hands-on experience with advanced 2.xD packaging technologies such as fan-out panel-level packaging (FOPLP), (organic) interposer, substrate and wafer-level back-end technologies and related process flows</li><li>Expertise in semiconductor processing and integration, including lithography, dry etch, thin film deposition and materials modification techniques on wafer and/or panel-level</li><li>Strong understanding of process equipment and packaging specific materials, including selection criteria, process interactions and performance trade-offs</li><li>Proficiency in statistical data analysis (e.g. DoE, JMP)</li><li>Knowledge of industry standards and best practices in semiconductor packaging</li><li>Solid understanding of process characterization, metrology, materials &amp; failure analysis</li><li>Working knowledge of reliability requirements and qualification methodologies</li><li>Proven capability to lead multi-functional teams to resolve complex technical problems</li><li>Exceptional written and verbal communication skills</li><li>Develop clear, compelling technical presentations and executive‑level slides to effectively convey complex concepts</li><li>Drive structured technical discussions with customers and suppliers</li><li>Articulate positions, influence decisions, and align technical direction</li><li>Ability to produce high‑quality, technically rigorous written content such as reports, white papers, and publications</li><li>Ability to work effectively across geographies and time zones</li></ul>

Responsibilities: <ul><li>Create 3D integration and packaging solutions for different platforms and quantum structures</li><li>Work with advanced packaging, process, hardware, and metrology team to develop new materials, processes, and structures for quantum devices</li><li>Design, collect data, analyze and compile reports on a variety of difficult process engineering experiments, within safety guidelines</li><li>Troubleshoot a variety of complex problems, perform Root Cause Analysis and resolve a variety of difficult process engineering issues</li><li>Generate internal and external documentation for products, presentations and technical reports</li><li>Design and conduct experiment, measure material and device properties and interpret data</li><li>Keep up to date with the latest advancements in 3D integration, quantum information, and related fields to continually implement new technologies, enhance approaches, and develop methodologies</li><li>Collaborate with customers, start-ups, or universities to identify key problems and develop enabling solutions</li></ul> Requirements: <ul><li>PhD, Masters, or Bachelors degree in Materials Science, Electrical Engineering, Physics, Microelectronics, or a related field.</li><li>5+ years of experience in advanced packaging, 3D integration, heterogeneous integration, or semiconductor process development.</li><li>Strong knowledge of wafer-level packaging, hybrid bonding, TSV, chiplets, flip-chip, and related packaging technologies.</li><li>Hands-on experience in semiconductor fabrication, process integration, materials characterization, and metrology.</li><li>Experience with DOE, data analysis, process optimization, and root cause analysis.</li><li>Familiarity with quantum devices, superconducting technologies, photonics, or cryogenic systems is a strong plus.</li><li>Strong problem-solving, technical communication, and cross-functional collaboration skills.</li><li>Ability to work effectively with customers, startups, universities, and multidisciplinary R&amp;D teams.</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze and compile reports on a variety of difficult process engineering experiments, within safety guidelines</li><li>Perform hardware characterization on a variety of difficult systems, within safety guidelines</li><li>Troubleshoot a variety of complex problems, perform Root Cause Analysis and resolve a variety of difficult process engineering issues</li><li>Generate internal and external documentation for products, presentations and technical reports</li><li>Interact with customers to resolve a variety of difficult process engineering issues/problems with limited supervision</li><li>Measure film properties and interpret data</li><li>Identify, select and work with vendors and suppliers with limited supervision</li><li>Implement new technology, products and analytical instrumentation</li></ul> Requirements: <ul><li>PhD or Masters Degree in Materials Science, Chemical Engineering, Chemistry or Physics or related field</li><li>Research focus in semiconductor would be an added advantage</li><li>Relevant experiences in semiconductor process development field</li><li>Good communication and interpersonal skills</li><li>Problem-solver attitude with determination and quality-mindset</li></ul>

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159 material engineer Jobs found

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Customer Service Representative

Customer Service Representative

Technical Director, Advanced Packaging Integration

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

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159 material engineer Jobs found

Supply Chain Analyst

AI Transformation Engineer

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

VDI & Endpoint Lead Engineer (AVP)

Customer Service Representative

Customer Service Representative

Technical Director, Advanced Packaging Integration

Senior Quantum 3D Integration and Packaging Engineer

Senior Process Engineer (R&D)

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