Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality) 

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

Sales Engineer, Mining

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>

Responsibilities: <ul><li>Maintain contact with customers and ensure Company products are specified.</li><li>Achieve or exceed sales targets.</li><li>Identify design consultants and engineering contractors involved in projects with close and regular contact making us their preferred pump choice.</li><li>Identify upcoming projects and that the Pump Group specification is used.</li><li>Keep local and global team updated on projects by discussion and to maintain and progress projects.</li><li>Arrange and run customer training and presentations, which can be on-site and/or office based.</li><li>Feedback potential product improvements and complaints, where new applications offer greater potential but existing specifications exclude or lessen our suitability.</li><li>Increasing our market share by replacing other pump types as well as other manufacturers of peristaltic pumps.</li><li>Keep the Sales Manager updated with competitor activity encountered in the marketplace.</li><li>Identify, organize and progress field trials.</li><li>Identify and lead marketing activities maintaining our brand and finding new opportunities.</li><li>Keep CRM up to date with all customer activities.</li><li>Conduct all activities in accordance with the Quality Management System</li></ul> Requirements: <ul><li>Skilled negotiator to achieve sales targets.</li><li>Needs to work well with company co-workers, reps/distributors, and customers, and achieve desired results.</li><li>Ability to foster relationships with external institutes and organisations to promote interest in the use of our products</li></ul> Education and Experience Requirements: <ul><li>Minimum 5 years experience in mining sales.</li><li>Mechanical / Technical sales experience.</li><li>Experience in process engineering.</li><li>Advanced English writing/reading competencie</li></ul>

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162 robotics and unmanned aerial vehicle uav engineer Jobs found

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

Sales Engineer, Mining

Sales Engineer, Mining

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162 robotics and unmanned aerial vehicle uav engineer Jobs found

Tool Room Engineer

Manufacturing Engineer

Development Engineer (Product Quality)

Senior Software Engineer AI

Software Engineer AI

Site Quality Leader

Data & ML Architect

TA Supervisor

Sales Engineer, Mining

Sales Engineer, Mining

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

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