Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Manufacturing Process Development Automation Engineer - Mechanical

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Account Manager

Supply Planning Leader

Customer Engineer

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

Responsibilities: <ul><li>Strategic Governance: Act as the technical lead for manufacturing test processes, coordinating technical quality metrics, systemic defect resolution, and sustaining product integrity across multiple global sites.</li><li>Design Influence: Represent structural test in high-level design reviews, setting DfT standards and negotiating probe access and coverage requirements to reduce risk in NPI and production.</li><li>Operational Leadership: Direct the development and deployment of complex ICT and Flying Probe programs. Oversee the qualification and release of test fixtures and assets, ensuring zero-defect compliance.</li><li>Technical Authority: Perform senior-level code reviews and lead global change control processes (ECOs/deviations) for test program source code and manufacturing recipes.</li><li>System Optimization: Lead the integration of advanced On-Board Programming (OBP) strategies and boundary scan (JTAG) flows into the manufacturing line to improve efficiency and test depth.</li><li>Mentorship &amp; Influence: Define and promote debug methodologies for manufacturing site test engineers; act as the lead interface between and external fixture/hardware vendors.</li><li>Process Scalability: Champion the adoption of automated workflows, version control standards, and statistical process control (SPC) to drive continuous improvement across the global manufacturing footprint.</li></ul> Requirements: <ul><li>Bachelors degree or equivalent experience in Electrical Engineering, Manufacturing Engineering, or a related technical field.</li><li>8+ years of professional experience in structural test development, debug, and release on industry-standard ICT platforms (e.g., Keysight i3070/Series 6 or TRI).</li><li>5+ years of experience with Flying Probe system development (e.g., SPEA FP4080 or equivalent).</li><li>Demonstrated experience leading end-to-end manufacturing test requirements, including program development, fixture procurement, and factory floor correlation.</li><li>Proven experience leading technical projects or providing technical guidance to multi-functional teams or external manufacturing partners.</li></ul>

Responsibilities: Deploy and Land: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region.</li><li>Cover discovery, scoping, development, integration, user acceptance testing (UAT), hypercare and rollout.</li><li>Embed with operations.</li><li>Participate in business stand-ups.</li><li>Visit the ramp and cargo floor.</li><li>Understand local data realities rather than making assumptions.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data.</li><li>Avoid handing over prototypes for someone else to productionise.</li><li>Scale deployment by reducing the cost and time required to deploy solutions across additional stations.</li><li>Achieve this through reusable integrations, configuration and runbooks.</li></ul> Build on the Platform, Not Around It: <ul><li>Consume data through the semantic layer and governed data platform.</li><li>Avoid parallel pipelines, local definitions and workarounds.</li><li>Apply Centre of Excellence (CoE) patterns and guardrails.</li><li>Follow reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows.</li><li>Implement RAG and retrieval patterns.</li><li>Implement agentic and tool-use patterns.</li><li>Apply evaluation frameworks.</li><li>Establish observability.</li><li>Maintain production cost control.</li></ul> Make Insight Self-Service: <ul><li>Build data products, not report queues.</li><li>Design governed, reusable datasets and semantic models.</li><li>Enable operations teams, airlines and forwarders to answer their own questions.</li><li>Put insight in front of the customer.</li><li>Deliver station and customer-facing analytics.</li><li>Enable natural-language access to operational data.</li><li>Ensure appropriate access, residency and confidentiality controls.</li><li>Design for the user, not the requester.</li><li>Ensure every product identifies the decision it changes and the person responsible for making it.</li><li>Instrument usage.</li><li>Retire products that are not used.</li><li>Consolidate fragmented reporting rather than extending it.</li></ul> Close the Loop: <ul><li>Feed field learnings back.</li><li>Convert integration problems into hardened patterns for the CoE and requirements for the platform team.</li><li>Own adoption and benefits.</li><li>Instrument deployments.</li><li>Track usage and benefits against the business case.</li><li>Report results accurately.</li><li>Be the technical face to the business and customers.</li><li>Translate between operations, the CoE and platform engineering.</li><li>Success in the First 12 Months</li></ul> Requirements: Experience: <ul><li>6+ years of experience in software or ML engineering.</li><li>Experience must include customer-facing or business-embedded delivery.</li><li>Demonstrated track record of scoping and delivering complex systems end to end in ambiguous, fast-moving environments.</li><li>Ability to remain accountable after go-live.</li><li>Production experience with LLM or ML systems.</li><li>Experience with prompt and agent design.</li><li>Experience with RAG.</li><li>Experience with evaluation frameworks.</li><li>Experience with deployment at scale.</li><li>Understanding of how model behaviour influences product experience.</li><li>Strong Python and API development skills.</li><li>Experience with FastAPI or equivalent.</li><li>Comfortable working across backend and frontend development.</li><li>Ability to build a working system independently.</li><li>Practical experience with Docker.</li><li>Practical experience with Kubernetes.</li><li>Practical experience with CI/CD.</li><li>Practical experience with cloud data platforms.</li><li>Experience integrating batch and real-time data against complex enterprise data sources.</li><li>Strong understanding of analytics.</li><li>Experience with semantic and dimensional modelling.</li><li>Knowledge of modern BI.</li><li>Experience designing data products that non-technical and external users can operate independently.</li><li>Aviation, logistics or complex operations experience is advantageous but not mandatory.</li><li>Willingness to learn operations directly from the operational floor is essential.</li></ul> Qualifications: <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or a related field.</li></ul>

Responsibilities: <ul><li>Own end-to-end delivery of AI and analytics products at stations in your region: discovery, scoping, build, integration, UAT, hypercare and rollout.</li><li>Embed with the operation. Sit in business stand-ups, walk the ramp and the cargo floor, and specify the local data reality rather than assuming it.</li><li>Ship production code in Python and comparable stacks against live flight, cargo, workforce and equipment data, not prototypes handed to someone else to productionise.</li><li>Scale deployment. Reduce cost and time-to-deploy from station N to station N+1 through reusable integrations, configuration and runbooks.</li><li>Consume through the semantic layer and the governed data platform. No parallel pipelines, no local definitions, no workarounds.</li><li>Apply CoE patterns and guardrails: reference architectures, AI registry, human-in-the-loop controls, access and residency rules.</li><li>Integrate GenAI and ML into workflows: RAG and retrieval, agentic and tool-use patterns, evaluation frameworks, observability and cost control in production.</li><li>Build data products, not report queues. Design- governed, reusable datasets and semantic models that let operations, airlines and forwarders answer their own questions.</li><li>Put insight in front of the customer. Deliver station and customer-facing analytics, including natural-language access to operational data, with the access, residency and confidentiality controls customer data demands.</li><li>Design for the user, not the requester. Every product names the decision it changes and who makes it. Instrument usage, retire what nobody opens, consolidate the long tail rather than extend it.&nbsp;</li><li>Feed the field back. Every integration problem you solve becomes a hardened pattern for the CoE and a requirement for the platform team.</li><li>Own adoption and benefits. Instrument what you deploy, track usage and benefit against the business case, and report it honestly.</li><li>Be the technical face to the business and to customers, translating between operations, the CoE and platform engineering.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>6+ years in software or ML engineering, including customer-facing or business-embedded delivery.</li><li>Track record of scoping and shipping complex systems end to end in ambiguous, fast-moving environments, and staying accountable after go-live.</li><li>Production experience with LLM or ML systems: prompt and agent design, RAG, evaluation frameworks, deployment at scale, and an understanding of how model behaviour shapes product experience.</li><li>Strong Python and API development (FastAPI or equivalent); comfortable across backend and front-end enough to build a working system alone.</li><li>Practical depth in Docker, Kubernetes, CI/CD, and cloud data platforms; batch and real-time integration against messy enterprise sources.</li><li>Fluency in the analytics half of the job: semantic and dimensional modelling, modern BI, and designing data products that non-technical and external users can operate without help.</li><li>Aviation, logistics or complex operations exposure is an advantage, not a prerequisite. Willingness to learn the operation from the floor is not optional.</li><li>Bachelors, MSc or PhD in Computer Science, Engineering, Mathematics or related field.&nbsp;</li></ul>

Responsibilities: <ul><li>Lead Automation Development for Cable Assembly Manufacturing - develop, implement, and validate cable assembly automation lines in accordance with LEANPD principles, driving productivity, quality, and manufacturing efficiency.</li><li>Drive Innovation in Automation Technologies - continuously improve existing automation methods and introduce new technologies, including robotics, machine vision, sensors, motion control, and advanced process controls to enhance capability and tolerance management.</li><li>Support Product Development and DFM - partner with Product Development teams to optimize product designs for automated manufacturing, develop proof-of-concept tooling, prototypes, and ensure successful new product introduction (NPI).</li><li>Design and Qualify Manufacturing Tooling &amp; Processes - design, develop, and validate tooling, fixtures, and automated processes that meet quality, reliability, and production requirements while driving process capability improvements.</li><li>Leverage Strong Mechanical Engineering Expertise - Apply deep knowledge of mechanical design principles, machine mechanisms, robotics integration, pneumatic and servo-actuated systems, material selection, tolerance analysis, and manufacturing processes to solve manufacturing challenges, integrate automation solutions, and assess supplier technical capabilities and compliance.</li></ul> Requirements:&nbsp;<ul><li>Bachelors Degree or higher in Mechanical Engineering, Mechanical Design Engineering, Mechatronics Engineering, Manufacturing Engineering, Automation Engineering, or a closely related discipline.&nbsp;</li><li>Strong preference for candidates with Mechanical Engineering education and hands-on experience in automation equipment design and development.&nbsp;</li><li>Minimum 7 years of experience in automation engineering, manufacturing engineering, process development, machine design, or related fields.&nbsp;</li><li>Strong knowledge of: Automated assembly equipment and manufacturing systems; mechanical design and machine mechanisms; robotics and automation integration; servo motion systems, linear motion components, and drive technologies; pneumatic and electromechanical systems; GD&amp;T, tolerance stack-up analysis, Design for Manufacturability (DFM); and automation equipment qualification</li></ul>

Responsibilities: <ul><li>Lead Automation Development for Cable Assembly Manufacturing - develop, implement, and validate cable assembly automation lines in accordance with LEANPD principles, driving productivity, quality, and manufacturing efficiency.</li><li>Drive Innovation in Automation Technologies - continuously improve existing automation methods and introduce new technologies, including robotics, machine vision, sensors, motion control, and advanced process controls to enhance capability and tolerance management.</li><li>Support Product Development and DFM - partner with Product Development teams to optimize product designs for automated manufacturing, develop proof-of-concept tooling, prototypes, and ensure successful new product introduction (NPI).</li><li>Design and Qualify Manufacturing Tooling &amp; Processes - design, develop, and validate tooling, fixtures, and automated processes that meet quality, reliability, and production requirements while driving process capability improvements.</li><li>Leverage Strong Electrical &amp; Electronics Engineering Expertise - apply deep knowledge of electrical and electronic systems, automation controls, PLCs, sensors, machine vision, and robotics to solve manufacturing challenges, integrate automation solutions, and assess supplier technical capabilities and compliance.</li></ul> Requirements:&nbsp;<ul><li>Bachelors Degree or higher in Electrical Engineering, Electronics Engineering, Mechatronics Engineering, Automation Engineering, or a closely related discipline.</li><li>Strong preference for candidates with Electrical &amp; Electronics (E&amp;E) engineering education and hands-on automation controls experience.&nbsp;</li><li>Minimum 7 years of experience in automation engineering, manufacturing engineering, process development, or related fields.</li><li>Strong knowledge of Industrial automation systems; PLCs, motion control systems, and industrial networks; sensors, actuators, and electrical control systems; robotics and automated assembly equipment; servo systems and electrical drive technologies</li></ul>

Responsibilities: <ul><li>Manage key accounts and develop strong relationships with customer stakeholders.</li><li>Identify and pursue business development opportunities to grow revenue in the Aerospace, Defense, and Marine sectors.</li><li>Manage direct global accounts and OEM business.</li><li>Provide technical solutions to government, PSU, and defense-sector customers.</li><li>Manage customer communication and maintain regular contact with key decision-makers.</li><li>Prepare and manage quotations, proposals, offers, and project contracts.</li><li>Lead commercial discussions, pricing, and contract negotiations.</li><li>Collaborate with channel and distribution partners to support business growth.</li><li>Identify customer needs and develop solution-oriented proposals.</li><li>Generate new business opportunities and close direct sales deals.</li></ul> Requirements: <ul><li>B.Tech in Mechanical, Electrical, or Electronics Engineering.</li><li>At least 5 years of relevant experience in a customer-facing role.</li><li>Experience in key account management and business development.</li><li>Proven experience handling direct OEM business.</li><li>Demonstrated success closing direct business deals.</li><li>Experience preparing offers, quotations, proposals, and presentations.</li><li>Proficiency in Microsoft Excel and presentation tools.</li><li>Required Skills and Competencies</li><li>Strong customer relationship management skills.</li><li>Excellent communication and interpersonal skills.</li><li>Strong influencing, selling, and negotiation abilities.</li><li>Solution-oriented approach and basic problem-solving skills.</li><li>Creative approach to identifying business opportunities.</li><li>Resilience and adaptability in a changing business environment.</li><li>Ability to work effectively with customers, internal teams, and channel partners.</li></ul>

Role Description: <ul><li>Supply Planning Leader is accountable for end-to-end supply planning across an assigned product portfolio and multiple distribution centers.</li><li>The role ensures timely, cost-effective product availability while balancing customer service, inventory health, working capital, capacity, and logistics performance. This leader converts demand into feasible supply plans, manages risks and constraints, and drives cross-functional execution and continuous improvement in a global, matrix environment.</li></ul> Responsibilities: <ul><li>Develop and execute supply plans aligned with customer demand, inventory targets, business priorities, capacity, material availability, supplier constraints, and transportation lead times.</li><li>Ensure finished-goods availability and timely replenishment across distribution centers, regional warehouses, and source plants by driving MRP recommendations and monitoring plan adherence.</li><li>Lead weekly and monthly supply reviews and actively support S&amp;OP and S&amp;OE by providing supply status, reviewing demand outlook, recommending trade-offs, and driving approved actions.</li><li>Optimize safety stock, MRP policies, inventory deployment, stock coverage, turns, availability, and working capital while maintaining healthy inventory levels.</li><li>Manage phase-in and phase-out planning for the assigned portfolio.</li><li>Identify demand-supply gaps, capacity bottlenecks, material constraints, revenue risks, and service opportunities; lead root-cause analysis, recovery plans, prioritization, and allocation decisions.</li><li>Support customer-service targets, including Fill Rate, STR, OTIF, and PP Confirmation, by aligning commitments with realistic supply capabilities.</li><li>Partner with Demand Planning, Procurement, Manufacturing, Logistics, Customer Service, Product Management, and Sales on material availability, inventory strategy, supply risks, and executive reviews.</li><li>Prepare monthly and annual inventory and freight projections and improve sourcing and transportation economics, including ocean buying from source.</li></ul> Requirements: <ul><li>Bachelor’s degree in Supply Chain Management, Engineering, Operations, Business, or a related field.</li><li>10+ years of experience in supply planning, materials planning, inventory management, manufacturing, distribution, OEM, automotive, industrial, or aftermarket environments.</li><li>At least 4 years of team-leadership experience, with demonstrated stakeholder management, influencing, communication, and problem-solving capability.</li><li>Experience working effectively in fast-paced, global, matrix, and ambiguous environments.</li><li>Strong knowledge of supply and demand planning, forecasting, inventory optimization, capacity and constraint management, distribution networks, transportation, warehousing, and S&amp;OP/S&amp;OE.</li><li>Proficiency in SAP MRP and inventory planning, SAP IBP, and advanced Microsoft Excel; strong Microsoft PowerPoint and analytics capability.</li></ul>

Responsibilities: <ul><li>Install, maintain, and upgrade customer equipment&nbsp;</li><li>Apply basic diagnostic techniques to assess equipment and address technical issues, with assistance from Senior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Collaborate with Senior Field Service Engineers [Customer Engineers] and/or the customer to understand roadmaps, process flows, inflection points, requirements, and&nbsp;</li><li>business challenges&nbsp;&nbsp;</li><li>Train and mentor junior Field Service Engineers [Customer Engineers]&nbsp;</li><li>Perform preventative and corrective maintenance on electrical, vacuum, mechanical, plasma, hydraulic, and gas systems&nbsp;</li><li>Coordinate and communicate directly with customers&nbsp;</li><li>Fulfill additional duties, as assigned.&nbsp;</li></ul> Requirements: <ul><li>Completion of a Diploma and/or Bachelor’s degree, military technical training, field service experience, or trade certification&nbsp;</li><li>4-7 years of work experience in semiconductor industry or other equipment support industry&nbsp;</li><li>Advanced mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, and/or thermodynamics&nbsp;</li><li>Strong knowledge of hand tools and their appropriate usage, including digital multimeters&nbsp;</li><li>Effective written and verbal communication skills&nbsp;</li><li>Basic knowledge of Microsoft Excel, Word, and PowerPoint&nbsp;&nbsp;</li><li>Possession of a valid driver’s license and the ability to obtain a passport, if travel is required.&nbsp;</li></ul>

Responsibilities: Cross function collaboration: <ul><li>Coordinate Procurement, SQE, PDE, MPDE, Engineering Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification/Development.</li><li>Engage upstream and downstream raw material partners to improve delivery capability, capacity alignment, and supplier responsiveness.</li><li>Organize and lead regular cross-functional reviews with PDE, MPDE, and suppliers to address delivery risks, manufacturing readiness, and improvement actions.</li><li>Track and drive closure of cross-functional and supplier action items, escalating gaps as needed.</li></ul> NPI stage: <ul><li>Provide early manufacturing and engineer support for PCBA commodities from a sourcing and supply chain perspective to support supplier selection decisions (critical).</li><li>Conflict Management: Coordinate and facilitate DFM (Design for Manufacturing) discussions with suppliers, and Engineering to ensure manufacturing requirements are clearly understood and accepted (no design decision ownership).</li><li>Assess and document manufacturing capability, process maturity, and QMS compliance during PCBA new supplier qualification.</li><li>Act as a coordination interface between Procurement and Engineering, ensuring alignment on quality, commercial, and technical expectations without assuming design ownership.</li></ul> Approved Supplier Management: <ul><li>Drive yield, process stability, and delivery performance improvements at supplier sites.</li><li>Collaborate with suppliers and key supply chain nodes to improve lead time and delivery reliability, supporting company sample and production needs.</li><li>Partner with CM and Procurement to support SRM programs for strategic PCBA suppliers, with close tracking of action plan execution.</li><li>Facilitate cross-functional supplier improvement workshops (e.g. CoPQ reduction, lead time optimization) as a neutral coordinator, ensuring clear ownership and accountability.</li><li>Monitor progress and escalate unresolved issues where action items are not closed as committed.</li></ul> Requirements: <ul><li>Bachelor’s degree in Electrical / Automation/ Mechanical or any Engineering related majors.</li><li>At least 7 years of MPDE experience within PCBA (Industry relevant), connector and cable assembly Quality Management portion. Procurement, supply chain experience OR Total years of experience 10+ years in various industries including PCBA.</li><li>Knowledge on specific product and process as required (Connectors, Cable and Cable Assemblies, PCBA Tolerances and Cost Drivers)&nbsp;</li><li>In-depth knowledge of electronic manufacturing processes such as PCBA assembly (SMT/THT), box build, testing, and packaging</li><li>Understanding of supplier capabilities, capacity planning, and EMS operating models</li><li>Familiarity with DFM/DFA (Design for Assembly), component sourcing, and BOM management</li><li>Awareness of quality systems, certifications (ISO 9001,IATF 16949 and IPC- Association Connecting Electronics Industries), and related compliance standards</li><li>Ability to work with EMS partners on cost, yield, lead time, and continuous improvement</li><li>Experience supporting NPI, supplier qualification, and scale-up to mass production</li><li>Expert level with the tools related to supplier APQP process, include but not limited to PPAP, FMEA, CP, MSA, SPC, R@R and 8D methodology is a Plus.</li><li>Thorough knowledge of Problem-Solving tools (5-Why, Ishikawa/Fishbone diagrams, Fault Tree</li><li>Analysis)</li></ul>

Responsibilities: Planning and Budgeting&nbsp;: <ul><li>Assist on annual budget preparation.&nbsp;</li><li>Assist on monthly forecast preparation.&nbsp;</li><li>Track weekly forecast variance. In order to provide accurate and timely reports.&nbsp;&nbsp;</li></ul> Inventory Risk tracking/Analysis&nbsp;: <ul><li>Inventory reserve preparation&nbsp;</li><li>High light inventory risks and opportunities monthly&nbsp;</li><li>Monitor inventory physical count.&nbsp;</li><li>In order to comply with corporate policies and risk control&nbsp;&nbsp;</li></ul> Costing&nbsp;accounting&nbsp;: <ul><li>Data prepare(Mater master/Routine/Std cost);&nbsp;</li><li>Month ending JE booking&nbsp;</li><li>PPV program and analysis&nbsp;</li><li>Mat. usage analyzing&nbsp;&nbsp;</li><li>Production scrap report preparing&nbsp;&nbsp;</li></ul> FA accounting&nbsp;: <ul><li>Familiar with Capital Assets policy and comply with the policy(Include local policy)；&nbsp;</li><li>Prepare FA management report(Acquisitions, disposal, transfer etc.) and leading fixed&nbsp;</li><li>assets physical count&nbsp;</li><li>Issuing Asset Tags to assets responsible department&nbsp;</li><li>Intercompany Transfers of Fixed Assets data preparing and follow to financial posting&nbsp;</li><li>Follow Open PO&amp;IO&amp;CIP tracking report by month&nbsp;</li><li>CER review and budget control with report and management.&nbsp;</li></ul> Requirements: <ul><li>At least bachelor’s degree in finance/accounting/taxation or related.&nbsp;</li><li>Over 7-10 years working experience in Finance, costing managerial position is preferred&nbsp;&nbsp;</li><li>Good knowledge and experience in costing of manufacturing.&nbsp;Understand how to manage&nbsp;</li><li>and improve Mfg. variance.&nbsp;&nbsp;</li><li>Good knowledge and experience in SAP.&nbsp;</li><li>Fluent English Mandarin, both written and oral (Added Advantage)</li><li>Strong will to learn and develop the skills.&nbsp;</li></ul>

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183 electrical equipment Jobs found

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Manufacturing Process Development Automation Engineer - Mechanical

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Account Manager

Supply Planning Leader

Customer Engineer

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

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Skills

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183 electrical equipment Jobs found

Structural Test Engineer

Forward Deployed Senior Engineer, AI & Analytics

Senior AI Engineer

Senior Manufacturing Process Development Automation Engineer - Mechanical

Senior Manufacturing Process Development Automation Engineer - Electrical & Electronics

Account Manager

Supply Planning Leader

Customer Engineer

Supplier Development Process Engineer

Finance Analyst III (Plant Operations)

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

EMPLOYER

TALENT

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Contact Us

JOBS BY SKILLS

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