Process Technician

Mechanical Engineer

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality) 

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

Responsibilities: <ul><li>Assisting engineer to work on developing process technology for advanced CVD / PVD processes</li><li>Responsible for performing basic recipe and CH troubleshooting during process runs and implement changes based on directions from the engineer&nbsp;&nbsp;</li><li>Owner for the execution of module process, data collection for measurement &amp; inspection and sharing of data with the engineer</li><li>Interact with internal and external CH and metrology tool owners to align for tool time, execute process sequence and collect data to feedback to engineer</li><li>Occasional over-time to support process engineering support activities</li></ul> Requirements: <ul><li>Ability to work on rotational day, afternoon or night/ overnight shift</li><li>Basic understanding on semiconductor process is preferred</li><li>Candidates with prior semiconductor equipment experiences can be considered</li><li>Prior experience in Process Technology as technician in Fab/Cleanroom area (CVD, PVD, ALD etc.) will be added advantage</li></ul>

Responsibilities: <ul><li>In support of design projects, coordinate the procurement and assembly of mechanical components/equipment and identify sources of critical parts and subsystems to resolve basic technical issues</li><li>Design or modify mechanical engineering layouts/schematics, and/or detailed drawings/specifications of limited scope under direct supervision</li><li>Perform and document engineering test reports under direct supervision</li><li>Generate related alpha/gamma documentation for product release under direct supervision</li><li>Perform engineering analysis under direct supervision</li><li>Troubleshoots a variety of mechanical problems of general difficulty under direct supervision</li><li>Effective use of engineering processes in the resolution of basic mechanical problems of limited scope</li><li>May be responsible for the design, development and implementation of custom mechanical tooling, fixturing, and associated processes to enable the handling, assembly and/or disassembly of parts, components, sub-assemblies and final assemblies throughout the product life cycle</li><li>Work with suppliers to ensure parts can be manufactured in accordance with performance and cost objectives.</li><li>Perform 3D modelling</li></ul> Requirements: <ul><li>Bachelor Degree in Mechanical Engineering</li><li>Basic knowledge or experiences in semiconductor industry</li><li>Prior 3D modelling experiences will be an added advantage</li><li>Skilled in Unigraphics - NX</li></ul>

Responsibilities: People Management and Development: <ul><li>Allocate and balance work across direct reports.</li><li>Review and provide timely performance feedback to direct reports.</li><li>Mentor, develop and motivate them.</li><li>Resolve people issues in the team in order to achieve targeted department performance and enhance staffs capability and working passion.</li></ul> Toolroom Production Management <ul><li>Develop toolroom production plan.</li><li>Allocate manpower based on toolroom production plan.</li><li>Monitor toolroom production plan execution and product quality.</li><li>Monitor 5S, ISO9000, , security discipline execution.</li><li>Check and monitor production report in order to ensure toolroom production operation run smoothly and improve product quality, production efficiency, on time delivery and reduce product scrap rate.</li></ul> Continuous Improvement: <ul><li>Improve toolroom related processes.</li><li>Review staff reasonable suggestion and customer complain and push improvement action plan implementation.</li><li>Evaluate and introduce new equipment, technology and materials in order to improve toolroom production operation efficiency.</li></ul> Requirements: <ul><li>Diploma/Degree in Mechanical Engineering or equivalent.&nbsp;</li><li>3 years toolroom related work experience.</li></ul>

Responsibilities: <ul><li>Responsible for various KPI’s pertaining manufacturing engineering and Team Management skills is must.</li><li>Responsible for assembly Process, Tool Design development, (New &amp; Old tools) Qualification and Trial</li><li>Improves manufacturing efficiency by analyzing planning workflow, space requirements, and equipment layout</li><li>Work with Global COE Assembly to drive continuous improvement in Assembly Technology / Process</li><li>Maintain proper documentation and for all assembly tooling, Spares and Process Set-up&nbsp;</li><li>Ensure all Tooling / automation design drawings (Soft &amp; Hard Copy) are up to date.</li><li>Impart trainings and development for new joiners, Technical Trainees etc.</li><li>Coordinate with Manufacturing Engineer for new product development and process improvement.</li><li>Assessing resource requirements and opportunity for Automation and Process Productivity improvement</li><li>Review of deployment</li><li>Review ISO documents and update, Engage in ISO audits.</li><li>Visit vendors for Assembly tooling assessment (Capability, Know How &amp; Capacity)</li><li>Monitoring of AM and PM and Effectiveness&nbsp;</li><li>Able to run the machine and instruct and train technicians to run the machine</li><li>CCD and PLC and Electrical Knowledge Preferably</li></ul> Requirements: <ul><li>Bachelor in Mechanical Engineering major or Electrical Engineering</li><li>10+ years’ experience and practitioner in the automation assembly and Tooling Design &amp; Development</li><li>CAD Knowledge Must, preferably Pro E / Creo &amp; Auto-cad, Solidworks, HMI (Human Machine interface).</li><li>DFM analysis, New automation or manual assembly / Tooling RFQ.</li><li>Assembly line Tooling &amp; Tool Debugging Knowledge.&nbsp;</li><li>Computer Knowledge, MS Office etc, SAP knowledge added advantage</li><li>Integrity; Accountability; Communication; Outgoing&nbsp;</li><li>Ergonomic and lean manufacturing practitioner</li><li>Advance digital acumen, MES (Manufacturing Execution System) and traceability.</li></ul>

Responsibilities: Customer Quality &amp; Technical Ownership: <ul><li>Act as the primary technical experts working closely with GQM, KQM, FSE, and internal stakeholders.</li><li>Lead customer complaint investigations, including root cause analysis using structured methodologies (e.g. 5 Whys, Fishbone, 8D), and ensure effective corrective and preventive actions (CAPA).</li><li>Ensure high-quality failure analysis (FA) reports supported by strong technical justification; challenge and close invalid or non-reproducible cases with data-driven rationale.</li><li>Drive fast response, structured escalation, and effective containment actions to improve response time and customer confidence.</li><li>Clearly translate customer complaints into technical, reliability, and risk-based problem statements.</li><li>Review customer quality documentation, including FAI, First Lot Approval, control plans, and inspection reports.</li><li>Ensure out-of-control situations are managed effectively through well-defined OCAPs, including timely containment and recovery actions.</li><li>Maintain high standards for 8D reports and monitor closure turnaround time to meet customer expectations.</li><li>Support regular customer quality reviews and maintain strong working relationships with key customer contacts.</li><li>Initiate internal technical quality improvement initiatives based on customer feedback, field failure data, and risk analysis.</li><li>Strengthen decision-making by identifying the most pragmatic solutions through cross-functional analysis of design, process, and supplier factors.</li></ul> Engineering &amp; Product Quality Assurance: <ul><li>Maintain strong product knowledge covering design intent, materials, machining, assembly, and related manufacturing processes.</li><li>Act as technical authority during escalations, challenging design or process decisions based on field data, reliability risk, and customer impact.</li><li>Support failure analysis and laboratory activities; convert findings into concrete design, process, or control improvements.</li><li>Serve as the link between field failures and design robustness, ensuring lessons learned are embedded into future products and updates.</li></ul> New Product Introduction &amp; Change Management: <ul><li>Participate in NPI and engineering change control processes to ensure customer quality, CTQ, and Copy Exact compliance.</li><li>Ensure customized or newly developed products fully meet customer specifications, quality standards, and regulatory requirements.</li><li>Provide engineering inputs for design reviews, DFMEA/DFMA, and quality guidelines from a customer and field reliability perspective.</li></ul> Culture &amp; Way of Working: <ul><li>Embody and promote company values: Integrity, Teamwork, Customer Centricity, and Innovation.</li><li>Foster a preventive mindset and risk-based thinking across engineering and quality activities.</li><li>Engage cross-functional teams with a clear focus on long-term product excellence and customer success.</li></ul> Requirements: <ul><li>Bachelor’s degree in mechanical, Mechatronics, Manufacturing Engineering, or related field.</li><li>5–10+ years’ experience in customer quality, product engineering, or industrialization within high-mix, precision manufacturing (semiconductor equipment preferred).</li><li>Strong ability to read and interpret drawings, GD&amp;T, simulations, specifications, and tolerance concepts.</li><li>Hands-on experience with 8D, 5 Whys, Ishikawa, DFMEA/PFMEA, DFMA, SPC, MSA, DOE.</li><li>Strong analytical, system-level, and reliability-focused thinking.</li><li>Ability to challenge technical decisions fact-based and constructively.</li><li>Strong communication skills in English, including customer-facing and executive-level discussions.</li><li>Strong command of English for global-level communication. Proficiency in Mandarin Chinese (for Chinese customer interaction) and Malay (for shop-floor communication) is highly advantageous.</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Role Description: <ul><li>The Site Quality Leader is responsible for the administration, supervision, and development of the Wilsonville Quality Assurance and Quality Engineering functions.&nbsp;</li><li>This position is responsible for ensuring full compliance to the regulatory requirements of 21 CFR 820, ISO13485, MDR and other applicable regulations including production and process controls.&nbsp;</li><li>The Site Quality Leader will report to the Global Head of Quality Operations.</li></ul> Responsibilities: <ul><li>Ensure that Material Review Boards are in place to ensure products are appropriately dispositioned within a timely manner, while ensuring appropriate corrective and preventive actions are initiated and regulatory requirements are met.</li></ul>&nbsp;Develop and implement systems to assure that development as well as production teams receive support in the following areas: <ul><li>Quality planning, including inspection techniques and sampling methods</li><li>Statistical Analysis</li><li>Application of required regulatory standards</li></ul> Develop and implement procedures and systems to assure product manufactured for human use meets design and functional specifications. These systems are to include as a minimum: <ul><li>Delivery of raw materials and components</li><li>Manufactured devices and equipment</li><li>Documentation associated with these functions</li><li>Develop, track, and report on the following administrative systems:</li><li>Department metrics</li><li>Department objectives</li><li>Personnel development and training</li><li>Support regulatory agency and customer quality audits.</li><li>Ensure the conformity of the components and products are appropriately checked in accordance with the Quality Management System before release.</li><li>Responsible for assisting and training associates in concepts of probability and statistics.</li><li>Responsible for failure appraisal and analysis (internal and external).</li><li>Authority to place products or processes on hold.</li><li>Design and develop forms and instructions for recording, evaluating, and reporting quality data.</li><li>Corrective and Preventive Action program</li><li>Based on operational/quality requirements, assist in test equipment selection and validation.</li><li>Utilize formal problem solving techniques to resolve product and/or process related issues.</li><li>As required, lead cross-functional teams to support resolution of product and/or process related issues or objectives.</li><li>Work with suppliers of both raw materials and components, to improve product quality and/or resolve quality issues.</li><li>Be innovative, knowledgeable and intensely committed to ensure that every product and service we supply conforms to FDA and Quality System Regulations..</li></ul> Requirements: <ul><li>Bachelors Degree with a scientific or engineering emphasis.</li><li>ASQ Certified Quality Engineer recommended. Six Sigma Green/Black belt recommended.</li><li>7-10 years experience in a related regulatory environment.</li><li>Experience should include positions at senior levels within the medical device organizations.</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: Execute Hiring Strategies; <ul><li>Collaborate with Regional TA Manager, Business Leaders, HR partners, and Business teams to understand short- and long-term hiring needs.</li><li>Assist in developing and executing hiring plans, executing Global SLAs are aligned with the Business Goals</li><li>Stay informed about industry trends, market conditions, and emerging hiring practices &amp; tool</li></ul> Talent Sourcing &amp; Pipeline Development: <ul><li>Build and maintain a strong pipeline of candidates for various key roles such as NPD, NPI, PDE, MPDE and many more.</li><li>Assist the Regional TA Manager to develop and implement innovative hiring strategies using Market intelligence &amp; Talent Mapping tools.</li><li>Leverage a mix of sourcing channels: Internal/External career sites, social media Hiring such as LinkedIn, TikTok, Instagram, Facebook etc., Job Boards such as JobStreet, Monster</li><li>Familiar with hiring tools such as HireEz, ZoomInfo. Leverage employee referrals, and University hiring</li></ul> Employer Branding &amp; Candidate Engagement: <ul><li>Position the company as an employer of choice in the Engineering, Tech and manufacturing space.</li><li>Create content and campaigns targeting industry professional (e.g., webinars, blog posts, meetups, TechEvents)</li><li>Craft compelling job descriptions and recruitment materials tailored for manufacturing, Production and Engineering professionals</li></ul> Full-Cycle Recruitment: <ul><li>Deliver end-to-end recruitment: sourcing, screening, interviewing, offers &amp; compensation negotiation and onboarding</li><li>Collaborate with hiring managers to define role requirements and ideal candidate profiles.</li><li>Assist implement and monitor structured interview processes, including technical assessments</li></ul> Stakeholder Management: <ul><li>Act as the primary liaison between candidates and internal stakeholders</li><li>Provide regular hiring updates, metrics, and insights to leadership</li></ul> Data-Driven Recruiting: <ul><li>Use analytics to track sourcing effectiveness, time-to-hire, offer acceptance rates, and pipeline health.</li><li>Ensure Global Hiring Metrics, SLA and targets are aligned and achieved</li><li>Publish Daily / Weekly / Monthly / Qtrly reports on the efforts and progress</li><li>Optimize hiring funnel using recruitment metrics and KPI</li></ul> Requirements: <ul><li>Overall 8+ years of experience with Minimum of 5+ years from relevant industry</li><li>Preferably an Engineer of any discipline, but not mandatory (OR) Bachelor’s degree or higher in business administration or related field</li></ul>

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Process Technician

Mechanical Engineer

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

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174 lp engineer user executor Jobs found

Process Technician

Mechanical Engineer

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

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

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