Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Customer Quality Engineer

Consultant, I&O Operations, MIM

Senior IT Engineer

Senior App Developer – SQL

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Staff/Senior Engineer, APTD CEM - Advanced Packaging Wafer Level Technology Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

Responsibilities: <ul><li>Develop and maintain automation scripts using Linux shell scripting, Python, or other relevant tools.</li><li>Develop and maintain the entire DevOps pipelines.</li><li>Ensure seamless deployment and integration between cloud/prem environments (AWS).</li><li>Integrate AI models into production environments using containerized platforms such as OpenShift.</li><li>Implement and maintain network security protocols to safeguard AI systems and data pipelines.</li><li>Collaborate with cross-functional teams to understand AI workflows and translate them into robust engineering solutions.</li><li>Monitor and optimize system performance, reliability, and scalability.</li><li>Support CI/CD processes and infrastructure for AI model deployment and updates.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>Bash and Unix/Linux command-line toolkit is a must-have.</li><li>Deep technical background, with hands-on experience in supporting CI/CD pipelines (Bitbucket, Jenkins, Artifactory, Sonar, Veracode for SAST, JIRA workflow, and Confluence).</li><li>Hands-on experience with OpenShift, Docker, Kubernetes.</li><li>Knowledge of cloud platforms (e.g. AWS) is a must-have.</li><li>Exposure to data and network security and compliance in AI systems.</li><li>Knowledge of API integration and microservices architecture.</li><li>Proficiency in Python used both for automation and ML-related tasks</li><li>Knowledge of Workflow Orchestrator, such as Ctrl-M</li><li>Good knowledge of Logging and Monitoring tools, such as Splunk and Geneos.</li><li>Experience with Observability framework, such as Langfuse, Elastic Stack, Grafana, Open Telemetry.</li><li>Understanding of Generative AI (e.g. prompt engineering, RAG pipelines) and Agentic AI concepts.</li></ul>

Responsibilities: <ul><li>Quality point of contact for Global strategic customer accounts.</li><li>Leads Quality / Reliability interactions with the customer, including regular communication and escalations.</li><li>Provide the Voice of the Customer feedback with product management, product engineering and manufacturing locations for characteristics that can become quality or application risks to the customer.</li><li>Provides internal and external technical support in evaluating products from a quality and reliability standpoint.</li><li>Leads cross-functional problem-solving teams to investigate quality issues and minimize customer impact, DPPM, cost of poor quality and drive timely resolution.</li><li>Influences without authority in efforts to achieve a robust 5D/8D response within agreed upon timeline.</li><li>Prepare comprehensive failure analysis reports that clearly communicate findings to both technical and non-technical stakeholders.</li><li>Drives systemic corrective action and continual improvement for customers through training and implementation and uses an array of quality improvement tools.</li><li>Regularly reports to management on the overall performance and effectiveness of the assigned global strategic customer account.</li><li>Manage quality issues or inquiries for parts in assigned Global Product Lines. The parts may be made at a company facility or at a sub-tier supplier.</li><li>Supports RMA team functions for disposition of non-conforming products.</li><li>Frequent OEM customer contract manufactures onsite investigations within Vietnam and Southeast Asia as needed to review company product, application use case, problem solve and provide solutions</li><li>Responsible for coordinating and ensuring completion of customer quality requested activities across design qualifications and manufacturing. This includes coordinating globally for all sites, factories, and associated teams within company.</li><li>Ensures compliance with company quality policies and procedures related to customer requirements.</li><li>Partners closely with sales, engineering, and operations to ensure organizational alignment regarding setting targets and achieving quality objectives for our customers.</li><li>Partners with engineering and sales to establish trust with our customers by sharing DDN strategic quality roadmap as well as resolving problems in a timely manner.</li><li>Acts as a liaison between company and the customer for Product Change Notifications and other contractual obligations.</li><li>Regularly conduct reviews with key customers regarding DDNs quality reliability performance.</li><li>Travel within Asia is required to work closely at customer onsite locations and other company locations, including overnight and multi-day trips.</li></ul> Requirements: <ul><li>Bachelor’s Degree with engineering technical focus.</li><li>Minimum 5+ years quality reliability and manufacturing experience working in a regional/global capacity.</li><li>Failure analysis expertise: plan, perform effective and efficient investigations using structured approaches such as fault trees to identify root cause and corrective actions.</li><li>Customer interface quality reliability experience in data center interconnect technology.</li><li>Demonstrated ability to lead teams, forge strong internal relationships, and drive improvement initiatives.</li><li>Knowledge and application of quality system regulations (ISO 9000, 14000 and 18000).</li><li>Experienced in the use Lean Six Sigma,8D methodology, Design of Experiments (DOE), Statistical Process Control (SPC), Process Capability (CpK) techniques, Gage R&amp;R and experience with application FMEAs.</li><li>Possesses strong leadership skills and executive level presence.</li><li>Self-motivated, efficient, ability to work with little or no supervision, and committed to a team approach.</li><li>Strong interpersonal, organization, and project management skills.</li><li>Ability to prioritize responsibilities in a fast-paced work environment.</li><li>Experience in core processes at component level including stamping, molding, plating, and next level assembly such as surface mount technology (SMT), press fit operations, system integrations and product testing.</li></ul>

Responsibilities: <ul><li>Incident &amp; Major Incident Management: Monitors, coordinates, and responds to infrastructure and application incidents, outages, and performance alerts, facilitating major incident processes, stakeholder communications, service restoration activities, and coordination across technical support teams.</li><li>Documentation, Reporting &amp; Continuous Improvement: Documents incidents, preliminary trigger cause, resolutions, and operational trends</li><li>develops reports and service insights to support decision making, governance reviews, and continuous improvement initiatives.</li><li>Collaboration &amp; Stakeholder Engagement: Partners with vendors, service providers, technical teams, and business stakeholders to coordinate resolution activities, manage operational communications, and improve service reliability and user experience.</li><li>Service Governance &amp; Process Improvement: Supports operational governance activities by analyzing incident trends, identifying improvement opportunities, facilitating major incident reviews, and contributing to the enhancement of ITSM processes, controls, and operational effectiveness.5.&nbsp;</li></ul> Requirements: <ul><li>Minimum of 5 years of relevant work experience</li><li>Typically reflecting 8–10 years of demonstrated experience in increasingly responsible operational and technology roles.</li></ul>

Responsibilities:&nbsp; <ul><li>Support the implementation and enhancement of Enterprise Datahub using Databricks, ensuring seamless integration with existing BI and ERP systems.</li><li>Support complex BI and data platform initiatives while maintaining quality, delivery timelines, and alignment with organizational goals.</li><li>Collaborate with business stakeholders, architects, developers, and analysts to translate requirements into solutions.</li><li>Design, implement, test, and optimize moderately complex data pipelines, ETL/ELT flows, semantic layers, and report solutions with the development team.</li><li>Apply technical knowledge and AI-driven optimization opportunities to improve data quality, validation, reliability, and operational efficiency across supported solutions.</li><li>Develop new and impactful ideas, approaches, and automation opportunities that improve the platform, processes, and user experience.</li><li>Communicates moderately complex information clearly, accurately, and in a timely manner, adapting the message to the audience.</li></ul> Requirements: <ul><li>Degree in Business Informatics, Information Technology, Data Engineering/Analytics, Engineering, or a related field.</li><li>Proven experience in data engineering, application support, BI analytics, or related technical roles.</li><li>Strong expertise in Databricks, GitHub, dbt, ETL, Tableau, Power BI, and SQL.</li><li>Familiarity with Generative AI tools (e.g., Copilot, LLM-based assistants) to enhance productivity, development, and documentation.</li><li>Ability to analyze moderately complex problems independently and drive resolution with minimal supervision.</li><li>Strong stakeholder management, teamwork, and clear written and verbal communication skills.</li><li>Experience contributing to technical improvements, process optimization, and operational quality.Proficiency in English, both written and spoken.</li></ul>

Responsibilities: <ul><li>Monitor production environments and respond to operational alerts.</li><li>Execute operational runbooks and incident response procedures.</li><li>Support deployments and environment management.</li><li>Develop automation scripts and engineering tools.</li><li>Assist with root cause investigations.</li><li>Support database health and maintenance.</li><li>Participate in on-call rotations.</li><li>Collaborate with development teams to improve reliability.</li></ul> Requirements: <ul><li>Knowledge and development experience on any WMS Knowledge is preferable.</li><li>Minimum 7 to 10 years of development experience.</li><li>Experience working on Agile Development Methodology&nbsp;</li><li>Self-Motivated Learner</li><li>Excellent written and verbal communication skills.</li><li>Bachelors degree and/or master’s degree in computer science or related discipline or the equivalent in education and work experience</li></ul>

Responsibilities: <ul><li>Monitor production environments and respond to operational alerts.</li><li>Execute operational runbooks and incident response procedures.</li><li>Support deployments and environment management.</li><li>Develop automation scripts and engineering tools.</li><li>Assist with root cause investigations.</li><li>Support database health and maintenance.</li><li>Participate in on-call rotations.</li><li>Collaborate with development teams to improve reliability.</li></ul> Requirements: <ul><li>4–8 years of software development experience.</li><li>Strong Java programming skills.</li><li>Experience with APIs and microservices.</li><li>Basic cloud experience (Azure/GCP).</li><li>Knowledge of monitoring tools.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Strong analytical and debugging skills.</li></ul>

Responsibilities: <ul><li>Own runtime health and operational stability of production services.</li><li>Participate in on-call support rotations.</li><li>Investigate production incidents and implement permanent fixes.</li><li>Develop automation for monitoring, alerting, deployments, and incident remediation.</li><li>Improve system reliability, scalability, and performance.</li><li>Perform capacity planning and performance tuning.</li><li>Support Couchbase and PostgreSQL databases.</li><li>Leverage AI tools to improve engineering productivity and operational efficiency.</li><li>Rotate between SRE and feature engineering teams based on business priorities.</li></ul> Requirements: <ul><li>8+ years of backend software engineering experience.</li><li>Strong Java programming skills.</li><li>Experience with REST APIs and microservices.</li><li>Experience with messaging platforms (AMQ, MQ, Kafka).</li><li>Azure or GCP cloud experience.</li><li>Strong debugging and production troubleshooting skills.</li><li>Experience with Couchbase and PostgreSQL.</li><li>Knowledge of monitoring and logging platforms.</li></ul>

Responsibilities: <ul><li>Lead Media Health Manufacturing activities for DRAM, Interface Die, and stacked HBM products.</li><li>Optimize manufacturing test coverage for current and future HBM architectures and process nodes.</li><li>Develop, validate, characterize, and qualify next-generation HBM products.</li><li>Support design verification and circuit debug using CAD tools and Verilog simulations.</li><li>Improve manufacturing yield, reduce test time, and optimize device reliability.</li><li>Drive root-cause analysis and resolution of manufacturing test flow, qualification, and RMA issues.</li><li>Promote innovation in Design-for-Test (DFT), manufacturing strategy, and test optimization.</li><li>Mentor engineers and develop technical and project management capabilities within the team.</li><li>Lead technical decision-making, risk analysis, and project prioritization.</li><li>Collaborate with Fab, HBM Technology Development, Design, System Development, Test Solution Engineering, and Quality/Reliability teams.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree in Electrical &amp; Electronics Engineering.</li><li>8+ years of semiconductor industry experience with Product Engineering experience preferred.</li><li>Strong leadership, circuit analysis, and root-cause problem-solving skills.</li><li>Knowledge of statistics, scripting, and data analysis tools.</li><li>Ability to adapt to technical leadership and people leadership responsibilities.</li><li>Proven collaboration across cross-functional engineering organizations.</li><li>Strong accountability, communication, and presentation skills.</li><li>Passion for mentoring and developing engineering talent.</li><li>Willingness to work onsite in Singapore and travel internationally (US, Taiwan, Japan).</li></ul>

Responsibilities: <ul><li>Develop wafer-level process technologies including wafer thinning and backside metal interconnect.</li><li>Improve process capability, yield, and manufacturing cost.</li><li>Establish process management projects supporting future technology nodes.</li><li>Evaluate, qualify, and implement new equipment and materials.</li><li>Set process parameters for semiconductor manufacturing equipment.</li><li>Drive process quality through inspection, testing, measurement, SPC, DOE, and defect analysis.</li><li>Develop advanced process controls using data analytics.</li><li>Collaborate with Package Integration, Assembly Engineering, Front-End Wafer Fab, Product Engineering, Assembly/Test Engineering, and Global Quality teams.</li><li>Support product transfer from development through qualification to High Volume Manufacturing (HVM).</li><li>Provide Process of Record (POR) and Model of Record (MOR) documentation.</li></ul> Requirements: <ul><li>B.S./M.S./Ph.D. (or equivalent) in Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, or related technical discipline.</li><li>2+ years of semiconductor process development experience, preferably in wafer bonding, plating, warpage control, or advanced packaging.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with Visual Basic.</li><li>Knowledge of E3, FDC (Fault Detection &amp; Classification), and RMS (Recipe Management System).</li><li>Strong statistical analysis, process modeling, SPC, DOE, and dashboard development skills.</li><li>Strong understanding of semiconductor process interactions, yield, performance, and reliability.</li><li>Excellent problem-solving and root-cause analysis capability.</li><li>Ability to deliver results under aggressive timelines and limited resources.</li></ul>

Responsibilities: <ul><li>Develop and optimize assembly processes for advanced packaging technologies, including wafer-level packaging, Chip-on-Wafer (CoW), and Chip-to-Wafer (C2W) die stacking.</li><li>Improve product quality, yield, productivity, and manufacturing cost.</li><li>Drive process management projects supporting future technology nodes.</li><li>Evaluate, qualify, and implement new equipment and materials.</li><li>Establish process parameters for semiconductor manufacturing equipment.</li><li>Ensure robust quality through process monitoring, inspection, testing, SPC, DOE, and defect analysis.</li><li>Use data analytics to establish advanced process controls and identify improvement opportunities.</li><li>Collaborate with Package Integration, Assembly Engineering, Front-End Wafer Fab, Assembly/Test Engineering, Product Engineering, and Global Quality teams.</li><li>Support seamless transition from product development through qualification into High Volume Manufacturing (HVM).</li><li>Provide Process of Record (POR) and Model of Record (MOR) documentation.</li></ul> Requirements: <ul><li>B.S./M.S./Ph.D. (or equivalent) in Materials Science, Chemical Engineering, Electrical Engineering, Mechanical Engineering, Physics, or related technical discipline.</li><li>2+ years of semiconductor process development or equipment evaluation experience, preferably in wafer bonding, die stacking, or advanced packaging.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with Visual Basic for automation and tool integration.</li><li>Knowledge of E3, FDC (Fault Detection and Classification), and RMS (Recipe Management System).</li><li>Strong data analytics capability supporting SPC, DOE, defect analysis, and dashboards.</li><li>Strong understanding of semiconductor process flows, yield, performance, and reliability.</li><li>Strong problem-solving and root-cause analysis skills.</li><li>Ability to work effectively under aggressive timelines and limited resources.</li></ul>

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51 reliability technicianpackaging Jobs found

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Customer Quality Engineer

Consultant, I&O Operations, MIM

Senior IT Engineer

Senior App Developer – SQL

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Staff/Senior Engineer, APTD CEM - Advanced Packaging Wafer Level Technology Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

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51 reliability technicianpackaging Jobs found

Enterprise Analytics – Machine Learning Ops/AI Projects (VP1)

Customer Quality Engineer

Consultant, I&O Operations, MIM

Senior IT Engineer

Senior App Developer – SQL

Intermediate App Developer – Production Engineering, Java

Senior App Developer – Java, Production Engineering

Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Staff/Senior Engineer, APTD CEM - Advanced Packaging Wafer Level Technology Engineering

Senior Engineer, APTD CEM - Advanced Packaging Die Level Technology Engineering

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