Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Manager, Process Engineer (Deposition)

PMO Engineer, Senior

Senior AQ Engineer

Process Automation Engineer - Optical & Transceiver Products

Alignment Process Engineer

Structural Test Engineer

Test Development Engineer/Leader

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>

Role Description: <ul><li>The organization is investing in a small number of high-impact AI and data products intended to operate across its global station network. </li><li>Each requires a single accountable owner who can hold the technical architecture and the product direction together, from first implementation through multi-station scale.</li><li>We are looking for a Lead, AI &amp; Data Products to take that ownership.&nbsp;</li><li>This is a senior individual contributor role for an engineer or applied scientist who has moved into product leadership, not a product manager with adjacent technical exposure.</li><li>You will be expected to reason about model design, data architecture and production trade-offs at the level of the engineers building the system, and to hold the roadmap, business case and stakeholder relationships at the level of the executives funding it.&nbsp;</li><li>The role operates horizontally.</li><li>You will act as the single-threaded owner for assigned initiatives, working with the AI Centre of Excellence on patterns and feasibility, with Data Engineering and Platform on the data foundation, with Operational Excellence and the business product owners on process change, and with the forward deployed engineers in region on station rollout.</li></ul> This is a hands-on role. <ul><li>You will review and contribute to code, make architectural calls, and spend meaningful time at the frontline understanding operations directly rather than through documentation.</li></ul> Responsibilities: Technical product ownership <ul><li>Own the product end to end for assigned AI and data initiatives: discovery, technical architecture, roadmap, delivery sequencing and global rollout readiness.</li><li>Act as single-threaded owner. One person accountable for whether the product works, is adopted, and delivers its business case across stations and regions.</li><li>Convert programs into products.&nbsp;</li><li>Move initiatives currently run as projects onto a product footing with a roadmap, a lifecycle, named users and a benefit measure.</li><li>Make the build decisions: in-house, CoE pattern, capability center, or vendor. Own the trade-off and the consequences.</li></ul> Technical depth <ul><li>Set the architecture for AI and data products spanning forecasting, optimization, simulation, GenAI and agentic workflows, and defend it in technical review.</li><li>Work in the codebase. Review designs and pull requests, prototype where it resolves ambiguity faster than discussion, and contribute directly when delivery depends on it.</li><li>Own production quality: model robustness, explainability, evaluation, monitoring, latency and cost in service, not only at launch.</li><li>Build on the platform. Consume governed data through the semantic layer and apply CoE guardrails rather than constructing parallel capability.</li></ul> Business and delivery leadership <ul><li>Translate operational problems into technical solutions and, equally, translate technical constraints into terms operations and commercial leadership can act on.</li><li>Own the business case with the business product owner: the benefit hypothesis, the measurement approach and the reported outcome.</li><li>Lead without direct authority across engineering, data science, operations and regional teams, including delivery through the capability center and vendor partners.</li><li>Work from the frontline.</li><li>Regular Gemba at stations, with operational understanding built firsthand.</li></ul> Requirements: <ul><li>10+ years in engineering, applied AI or data science, with a substantial portion spent building and running systems in production rather than specifying them.</li><li>Demonstrable record of owning technical products end to end and scaling them beyond a first implementation into multi site or multi-market operation.</li><li>Depth in one or more of: forecasting (time series, probabilistic, hierarchical), optimization (MIP, LP, heuristics), simulation, or production GenAI and agentic systems, with working literacy across the others.</li><li>Strong Python and SQL, with practical command of the modern data and ML stack: cloud data platforms, pipelines, model deployment, evaluation and monitoring.</li><li>Experience influencing senior stakeholders and operating across engineering, operations and commercial functions without direct reporting lines.</li><li>Aviation, logistics or complex physical operations exposure is an advantage, not a prerequisite.</li></ul> Qualifications <ul><li>Bachelors, MSc or PhD in Computer Science, Engineering, Data Science, Mathematics, Operations Research or a related field. Personal characteristics</li><li>Technical credibility earned through building, not through managing builders.</li><li>Judgement on trade-offs between scope, speed and quality, with the confidence to decide under incomplete information.</li><li>Clear communication with engineers, operators and executives, adjusting register without losing precision.</li><li>Comfort with ambiguity and being accountable for outcomes rather than activity.</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: <ul><li>Lead the development and scaling of next-generation advanced packaging technologies, leveraging expertise in thin film deposition processes including Physical Vapor Deposition (PVD), Chemical Vapor Deposition (CVD), and/or Atomic Layer Deposition (ALD) to enable customer roadmaps and address critical technology challenges.</li><li>Drive process and technology roadmap development for advanced packaging, 3D integration, and related semiconductor applications through collaboration with customers, research organizations, and cross-functional engineering teams.</li><li>Manage engineers in utilizing techniques to characterize hardware, define methods and new technologies and apply them to characterize hardware, and/or perform hardware characterization on extremely complex systems for entire range of products for division</li><li>Interact with key customers to resolve extremely complex process engineering issues to address customers High Value Problems (HVP) for an entire range of products for the division.</li><li>Ensures effective product/technology demonstrations.</li><li>Leads collaboration efforts with executive managers and junior managers to ensure strategic execution.</li><li>Leads market share improvement efforts.</li></ul> Requirements: <ul><li>7-10+ years of semiconductor equipment R&amp;D experience.</li><li>2+ years of people management/team leadership experience.</li><li>Strong background in:&nbsp;</li><li>CVD, PVD, ALD, Etch</li><li>Thin-film technologies</li><li>Experience in equipment/process R&amp;D and product development.</li><li>Strong English communication skills.</li></ul>

Responsibilities: <ul><li>Acts as the primary PMO interface between project teams, quality, supply chain, finance, and management.</li><li>Works closely with project leaders to ensure timely review of project progress and deliverables are achieved at planned milestones</li><li>Tracks and controls project cost, schedule, and milestones against approved plans.</li><li>Identifies deviations early and coordinates mitigation actions with project and functional owners</li><li>Enforces PMO standards, reporting cadence, and governance forums. Ensures consistent, high-quality project and portfolio reporting for management reviews</li></ul> Requirements: <ul><li>Bachelor degree in Engineering (Mechanical, Electrical, Industrial, Material, Chemical), or Engineering Management</li><li>Experience in one or more of the following within a semiconductor environment:</li><li>PMO / Project Controlling for R&amp;D, Technology Development, or NPI</li><li>Project management supporting product and process development</li><li>Engineering Operations or Business Operations in semiconductor R&amp;D</li><li>Strong stakeholder management skills; ability to communicate clearly with senior management and cross functional teams</li><li>Experience in project controlling or project management</li><li>Strong analytical and financial acumen.</li><li>PMP® or equivalent project / program management certification is an advantage</li><li>Lean / Six Sigma (Green Belt or above) for process and execution discipline is an advantage</li></ul>

Role Description: <ul><li>We are hiring a Senior Quality Engineer for a leading global engineering and manufacturing organisation.</li><li>The role is based at the manufacturing plant and focuses on ensuring product quality, manufacturing process compliance, and customer satisfaction.</li><li>This is a hands-on individual contributor role involving quality engineering, APQP methodologies, process documentation, and customer quality management.</li></ul> Responsibilities: <ul><li>Execute hands-on quality assurance and quality engineering activities at the manufacturing plant.</li><li>Apply all five core APQP (Advanced Product Quality Planning) tools and methodologies in daily operations.</li><li>Develop, create, and maintain process documentation, including Process Flow Charts (PFC) and other relevant quality documents.</li><li>Ensure products and manufacturing processes meet established quality standards and customer requirements.</li><li>Handle customer complaints, quality investigations, root cause analysis, and corrective actions.</li><li>Conduct process observations and support quality-related investigations at customer sites, as required.</li><li>Collaborate with product engineering, R&amp;D, manufacturing, and cross-functional teams to resolve quality issues.</li><li>Independently execute technical quality activities and contribute to continuous improvement initiatives.</li></ul> Requirements: Education &amp; Experience <ul><li>Minimum 5 years of relevant hands-on experience is required; 6+ years is preferred.</li><li>Candidates with strong technical capability may be considered based on their interview assessment.</li><li>Engineering graduates with experience in Quality Assurance, Quality Engineering, Product Engineering, or R&amp;D are eligible.</li><li>Previous experience in the automotive industry or automotive component manufacturing is an advantage.</li></ul> Technical Skills &amp; Competencies <ul><li>Practical experience in quality assurance or quality engineering.</li><li>Mandatory hands-on knowledge and application of all five core APQP tools.</li><li>Experience creating and maintaining process documentation, including PFC.</li><li>Knowledge of customer complaint management, root cause analysis, and corrective actions.</li><li>Strong technical problem-solving skills and understanding of manufacturing processes.</li><li>Ability to independently execute technical activities and adapt quickly to the role</li></ul>

Responsibilities; <ul><li>Optical Coupling &amp; Production: Conduct daily optical coupling production work for various optical modules and provide on-site technical support.</li><li>Process Optimization: Improve coupling efficiency, product yield, and consistency while reducing production costs and defect rates.</li><li>Failure Analysis: Diagnose coupling-related defects—such as optical power loss, coupling offset, glue failures, and fiber displacement—and establish preventive measures.</li><li>NPI &amp; Validation: Partner with R&amp;D and quality teams to verify new products, materials, and processes, transitioning them into mass production.</li><li>Conduct data analysis and process monitoring to identify opportunities for further automation and continuous improvement.</li><li>Create and maintain documentation for automated processes, standard operating procedures, and training materials.</li><li>Ensure compliance with safety, quality, and industry standards in all automation activities.</li></ul> Requirements: <ul><li>Education: Bachelor’s degree or higher in Optics, Optoelectronics, Electronic Engineering, Mechanical Engineering, Physics, Materials, or a related field (some senior levels require 7+ years of specialized experience in optics or semiconductor packaging).</li><li>Technical Knowledge: Understanding of optical module working principles, optical path transmission, and fiber coupling mechanisms.</li><li>Hands-on Skills: Experience operating coupling equipment, performing fiber alignment adjustments, and calibrating optical power.</li><li>Product Familiarity: Working knowledge of high-speed optical modules such as SFP, QSFP, OSFP, and 400G/800G systems is preferred</li></ul>

Responsibilities: <ul><li>Conduct daily optical coupling production work for various optical modules</li><li>Optimize existing optical coupling processes, improve coupling efficiency, product yield and consistency, and reduce production costs and defective rates.</li><li>Responsible for on-site technical support for coupling production, quickly respond to abnormal production conditions, and handle process and product defects in a timely manner.</li><li>Carry out failure analysis of coupling-related defective products, summarize failure modes root causes (such as coupling offset, optical power loss, glue failure, fiber displacement etc.), and formulate targeted improvement and preventive measures.</li><li>Cooperate with R&amp;D and quality teams to verify new products, new coupling processes and new materials, and complete process validation and mass production conversion work.</li><li>Sort out coupling process documents, standard operation procedures (SOP) and failure analysis reports, and accumulate process experience to form technical archives.</li></ul> Requirements: <ul><li>Bachelor degree or above in Optics, Optoelectronics, Electronic Engineering, Mechanical Engineering or related majors.</li><li>Familiar with basic optical theories and professional knowledge, understand the working principle of optical modules, optical path transmission principles and fiber coupling mechanism.</li><li>Possess practical hands-on experience in optical module coupling process, familiar with coupling equipment operation, fiber alignment adjustment, optical power calibration and related production processes.</li><li>Equipped with independent failure analysis and problem-solving capabilities, able to quickly locate coupling process abnormalities and product failure causes, and implement effective solutions.</li><li>Familiar with common optical module products (such as SFP, QSFP, OSFP, 800G/400G high-speed optical modules) and mainstream coupling processes is preferred.</li><li>Good logical thinking, hands-on ability and on-site emergency response capability, able to adapt to production technical support work.</li></ul>

﻿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 company 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: <ul><li>Collaborate with Product Design &amp; Engineering teams to apply Product Design &amp; Test Methodology.</li><li>Engage early in design to improve DFM/DFT requirements and provide timely feedback.</li><li>Develop manufacturing test strategies based on hardware, system, and diagnostics specifications.</li><li>Act as the technical POC for Contract Manufacturers, providing debug support and resolving product queries.</li><li>Deliver scalable, efficient test automation code aligned with guidelines.</li><li>Provide cross-BU and cross-product family support.</li></ul> Requirements: <ul><li>Bachelor’s/Graduate degree in Electronics or Computer Science Engineering.</li><li>5 + years of experience in hardware product design, validation, and test automation, with strong C/C++/Python programming skills.</li></ul>

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107 r programming language Jobs found

Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Manager, Process Engineer (Deposition)

PMO Engineer, Senior

Senior AQ Engineer

Process Automation Engineer - Optical & Transceiver Products

Alignment Process Engineer

Structural Test Engineer

Test Development Engineer/Leader

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107 r programming language Jobs found

Senior AI Engineer

Lead, AI & Data Products (Technical)

Supplier Development Process Engineer

Manager, Process Engineer (Deposition)

PMO Engineer, Senior

Senior AQ Engineer

Process Automation Engineer - Optical & Transceiver Products

Alignment Process Engineer

Structural Test Engineer

Test Development Engineer/Leader

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EMPLOYER

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