Channel Sales Manager

Associate, Investment Finance, Global Investment Services

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Principal/Staff Engineer – Firmware Development

Front End Central Product Integration (FE CPIE) MTS (FE)

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Sales Manager

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Responsibilities: <ul><li>Develop and execute channel sales plans aligned with business objectives.</li><li>Build and maintain strong relationships with distributors and channel partners.</li><li>Establish joint business plans, performance targets, and growth initiatives with assigned partners.</li><li>Drive demand creation across data center, AI infrastructure, cloud, networking, telecom, and edge applications.</li><li>Identify new customers, applications, and competitive-conversion opportunities.</li><li>Build and manage a qualified opportunity pipeline from identification through design-in, design-win, and revenue conversion.</li><li>Conduct regular business reviews covering sales, pipeline, inventory, training, and program execution.</li><li>Support product launches, customer events, technical workshops, and partner training.</li><li>Gather market, customer, channel, and competitive insights to support business decisions.</li><li>Coordinate cross-functional resources to resolve commercial, technical, supply, and customer issues.</li><li>Maintain accurate opportunity, forecast, and customer information in applicable business systems.</li><li>Ensure channel activities comply with company policies and commercial requirements.</li></ul> Requirements: <ul><li>Bachelor’s degree in engineering, business, marketing, or a related field.</li><li>Relevant experience in channel sales, distribution sales, account management, or business development.</li><li>Experience managing distributors, resellers, or other channel partners.</li><li>Demonstrated ability to develop sales plans and deliver measurable business growth.</li><li>Strong commercial, negotiation, analytical, and relationship-management skills.</li><li>Experience with CRM, pipeline management, forecasting, and business reporting.</li><li>Strong written and verbal communication skills.</li><li>Ability to collaborate effectively in a global, matrixed organization.</li><li>Willingness to travel according to business requirements.</li></ul>

Responsibilities: <ul><li>Manage financial due diligence, including the assessment of findings and purchase price adjustments for investments, divestments, and restructurings</li><li>Assess and strengthen the financial operations, controls and governance of investee companies</li><li>Provide financial and operational advice on investment holding structures, funding, cash repatriation, accounting and valuations matters</li><li>Oversee the set up and maintenance of investment holding structures, including capital structure maintenance, cash management and regulatory filing</li><li>Coordinate with operations team to fulfill investment operational requirements, including liaising with banks on funding requirements</li><li>Monitor key financial controls for asset operations - including cash controls and review of investee financials - and liaising with external auditors</li><li>Identify surplus cash of investments and drive repatriation solutions in partnership with Investment Teams, Treasury, and investee companies</li><li>Review market valuation for private investments and provide insights into valuation movements and investment returns</li></ul> Requirements: <ul><li>Strong academic background in Accounting, Finance, or equivalent</li><li>Certified Public Accountant preferred</li><li>At least 3-5 years of relevant working experience, with a preference for experience in Investment Finance related activities</li><li>Strong understanding of investment structures, financial governance, accounting, valuation concepts and financial controls</li><li>Strong stakeholder management and communication skills, with the confidence to engage investment professionals, investee companies, service providers, and advisors</li><li>Highly motivated, intellectually curious, and adaptable, with the ability to thrive in a dynamic and evolving investment environment</li><li>Strong project management and execution capabilities, with the discipline to manage competing priorities and deliver outcomes independently</li><li>A collaborative team player who embodies integrity, accountability, and a commitment to excellence</li></ul>

Responsibilities: <ul><li>Build effective collaboration across facilities, procurement, manufacturing, IT, and operations teams</li><li>Communicate project updates, risks, and key milestones to stakeholders and leadership</li><li>Identify risks, escalate issues proactively, and recommend mitigation strategies</li><li>Support root cause analysis and technical problem-solving across global sites</li><li>Contribute to development and standardization of Best Known Methods (BKMs)</li><li>Drive alignment of engineering priorities with global facilities strategies</li><li>Lead or support capacity planning and scenario analysis across site networks</li><li>Support sustainability initiatives aligned with corporate goals</li><li>Lead construction engineering activities for semiconductor facilities across design, construction, commissioning, and operations phases</li><li>Provide technical engineering support to construction teams to drive project execution and operational excellence</li><li>Manage scope, schedule, cost, and quality to meet project and business requirements</li><li>Support large-scale greenfield fab projects across U.S. and Asia, ensuring compliance with standards and regulatory requirements</li><li>Review engineering design packages and provide timely, documented feedback</li><li>Monitor construction progress and resolve technical issues during project execution</li><li>Support cost estimation, scheduling, and business case development</li><li>Coordinate with internal teams and external consultants to ensure alignment with project goals</li><li>Drive continuous improvement in construction practices with a focus on efficiency, innovation, and sustainability</li></ul> AI Responsibilities: <ul><li>Integrate AI-assisted tools into engineering and project workflows to enhance efficiency, quality, and decision-making</li><li>Identify opportunities to apply AI-driven insights in construction engineering, data analysis, and project planning</li><li>Contribute to continuous improvement by sharing AI-enabled best practices within the team</li></ul> Requirements: <ul><li>Minimum Required Qualifications / Experience</li><li>Bachelors degree in Mechanical Engineering, Construction, Building Services, or related field.</li><li>Minimum 8 years of mechanical engineering experience, including 5 years supporting construction projects.</li><li>Strong semiconductor facilities and process systems design experience (Cleanroom HVAC, CHW, PCW, Exhaust, CDA, Vacuum, etc.).</li><li>Experience working in EPCM project environments.</li><li>Ability to review engineering drawings, specifications, and technical designs.</li><li>Experience in project execution, including cost control, scheduling, commissioning, and handover.</li><li>Strong knowledge of construction engineering practices within semiconductor or similar industries.</li><li>Excellent technical problem-solving and root-cause analysis skills.</li><li>Strong communication, stakeholder management, and cross-functional leadership abilities.</li><li>Ability to work effectively in a global, multicultural environment.</li><li>Ability to apply baseline digital fluency and AI literacy to utilize AI-enabled tools for engineering analysis, problem-solving, and operational efficiency</li><li>Highly Desirable / Preferred Skills or Experience</li><li>Professional certification or membership in a recognized engineering body</li><li>Experience working on semiconductor fab or large industrial projects</li><li>Experience in greenfield construction projects</li><li>Knowledge of sustainability practices in construction and facilities</li><li>Experience working across global or regional teams</li></ul>

Responsibilities: SUPPORT CUSTOMERS AND DEBUG FIRMWARE <ul><li>Customer engineering support: Act as the primary technical escalation point for Security Firmware on SSD products — triage, prioritize, and drive customer reported security issues to closure within committed response times</li><li>Security feature enablement: Guide customers through the configuration, integration, and validation of SSD security features; including, but not limited to: TCG Opal/Pyrite/Ruby and Enterprise SSC, ATA and NVMe security commands, self-encrypting drive operation, secure boot and signed firmware update, sanitize and cryptographic erase, key management, and device attestation</li><li>Debug and root cause analysis: Reproduce customer, qualification, and field failures in the lab; analyze firmware logs, traces, and bus captures; debug Security Firmware source; and deliver documented root cause and corrective action</li><li>Firmware fixes and validation: Develop, unit test, and functionally validate targeted Security Firmware changes and customer specific configurations and builds, ensuring each change meets the security, functional, performance, and quality/reliability requirements of the technical spec matrix before release</li><li>Vulnerability and incident response: Assess the impact of reported vulnerabilities and security findings on products already in the field, and support mitigation planning, remediation delivery, and customer disclosure</li><li>Customer qualification and compliance support: Support customer security audits, security questionnaires, and certification activities (e.g. TCG specification compliance, FIPS 140-3, Common Criteria), and produce the application notes, integration guides, and technical documentation customers depend on</li></ul> STAKEHOLDER MANAGEMENT <ul><li>Represent our client in direct technical engagement with customer engineering teams, translating Security Firmware behavior, constraints, and risk into terms that are clear to both engineering and non-engineering audiences</li><li>Dedicatedly provide to management, multi-functional team members, and the firmware team consistent, detailed, and properly summarized information regarding customer issues, escalation status, and the progress of firmware fixes</li><li>Maintain accurate issue records, root cause reports, and knowledge base content so that recurring customer questions are answered faster over time</li></ul> PEOPLE DEVELOPMENT <ul><li>Multi-functional Teamwork: Develop and maintain collaborative, open and, constructive relationships with peers, management, and partner teams across firmware development, product engineering, quality, and field applications</li><li>Team Development: Provide technical capability that continuously improves team involvement, morale, and productivity</li><li>Personal Development: Work to continuously improve your technical capability and communication skills</li></ul> AI UTILIZATION <ul><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and requirements.</li><li>Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.</li></ul> Requirements: <ul><li>Bachelors/masters degree in computer or electrical engineering with 5+ years of relevant experience.</li><li>Experience in a customer facing engineering role such as customer engineering support, field applications, sustaining engineering, or escalation management is strongly preferred</li><li>Embedded Security domain knowledge and experience, including cryptography fundamentals (AES, RSA/ECC, SHA), key management, secure boot, and secure firmware update</li><li>Familiarity with storage security standards and features such as TCG Opal and Enterprise SSC, ATA Security, NVMe security and sanitize commands, and self-encrypting drives is an advantage</li><li>Expertise in the use of programming languages (eg. C, C++, RUST), programming tools &amp; environments</li><li>Experience programming in Python for test automation, log parsing, and debug tooling is an advantage</li><li>Understanding of storage interfaces including ideally PCIe/NVMe, SATA, or SAS</li><li>Experience with NAND flash and other non-volatile storage is an advantage</li><li>Experience in storage industry, storage systems, or a related technology is an advantage</li><li>Proficiency in debugging and resolving code problems for firmware applications, including the use of debuggers, firmware trace and log analysis, and protocol analyzers</li><li>Experience with defect tracking, change control, and firmware release processes in a production or sustaining environment</li><li>Excellent written and verbal communication skills, with the ability to manage multiple concurrent escalations under time pressure and stay effective in customer visible situations</li><li>Ability to apply baseline digital fluency and role-appropriate AI literacy to use AI-enabled tools responsibly and effectively for research, analysis, content creation, problem-solving, operational tasks, and achieving business outcomes.</li></ul>

Responsibilities: <ul><li>Lead process integration (PI) structural uniformity and cross loop integration for critical modules (e.g., capacitance loop), owning end to end integration strategies to resolve yield, quality, and reliability gaps. </li><li>Drive physics&nbsp;and process based integration solutions through close collaboration with cross module process owners, PI subject matter experts, and key suppliers to optimise integration structures and achieve BIC yield and quality targets.</li><li>Develop and apply model based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry dependent effects) to diagnose structural non uniformity. Define, implement, and continuously strengthen critical inline monitoring and defence lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity.</li><li>Own and advance product integration programs and loop level domain expertise, maintaining deep technical knowledge across node transitions. </li><li>Proactively drive node over node “shift left” integration, including early implementation of uniformity, bevel, and backside best known methods (BKMs) during development phases to accelerate whole wafer (centre-to-edge) yield and quality ramp.</li><li>Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and performance gaps, and lead business process creation, optimization, and re engineering to improve benchmark performance, cycle time, and development productivity.</li><li>Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.</li></ul> Requirements: <ul><li>Bachelors/Masters/PhD. in EE, Materials Engineering, Materials Science, Physics and Chemical but optional if candidates have more than 10 years experience in process related role in the semiconductor industry.</li><li>With more than 7 years of relevant industry experience/knowledges.</li><li>Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front-end and backend assembly processes.</li><li>Good model-based problem solving, together with data-driven decision making, and presentation skills. Proven ability to troubleshoot and solve structure and device-related issues, and address root cause.</li><li>Good organizational capabilities and ability to work effectively. Ability to be flexible with job responsibilities and take the initiative to assume added responsibilities. Travel to company sites as necessary for face-to-face collaboration.</li><li>Strong interpersonal skills and customer/co-worker relationships. Successfully demonstrated teamwork skills with a strong focus on developing good team dynamics.</li><li>Good multi-tasking, verbal and written communication skills.</li><li>Ability to apply baseline digital fluency and role appropriate AI literacy to use AI enabled tools responsibly and effectively for research, analysis, content creation, problem solving, operational tasks, and achieving business outcomes</li></ul>

Responsibilities: Strategy, Framework &amp; Policy Architecture <ul><li>Define Group-wide Data &amp; AI Governance strategy, framework, operating model and roadmap, aligned to business strategy and AI ambitions</li><li>Author and maintain the Groups policy architecture - policies, standards, guidelines and procedures</li><li>Provide oversight, challenge and monitoring of adherence to policies and standards</li><li>Lead the continuous-improvement agenda for governance maturity through targets and metrics</li></ul> Governance Operating Model &amp; Stewardship <ul><li>Establish the governance model: define decision rights (RACI), and Data Owners and Stewardship roles across the business units</li><li>Translate governance topics into business-relevant insights for the relevant audiences.</li></ul> Data Governance, Catalogue &amp; Metadata Standards <ul><li>Set Group standards for data ownership, critical data elements, business glossary, metadata, data classification and dataset certification</li><li>Mandate data contracts on critical datasets and lineage coverage, embedding governance checks into the delivery lifecycle</li><li>Own the access governance standard and govern access to data, balancing innovation with appropriate controls</li></ul> Data Quality Management <ul><li>Own the Group data quality policy and standard - quality dimensions, rule libraries, thresholds and SLAs</li><li>Oversee the data quality operating loop, per-domain scorecards, remediation to SLA and owner-accountability reporting</li><li>Set the dataset certification regime before business use</li></ul> Data Protection, Sharing &amp; Retention <ul><li>Partner with Cybersecurity and Data Protection Office to develop and maintain the data protection framework and policies</li><li>Oversee data-sharing, retention and disposal practices across various stakeholders</li><li>Collaborate with Legal, Privacy and Compliance to ensure data compliance across jurisdictions</li><li>Manage and escalate data protection risks, tracking mitigations to closure</li></ul> Master Data Management <ul><li>Serve as design authority for master data capability, to centralize and manage master and reference data efficiently</li><li>Broker and secure ratification of master data design decisions across systems and stakeholders</li><li>Drive change management, adoption, integration and scaling of the MDM platform across the organization</li></ul> Regulatory Compliance, Risk &amp; Assurance <ul><li>Conduct regulatory horizon scanning across the jurisdictions where company operate, re-baselining policies, controls and plans as laws and standards evolve</li><li>Lead Group-wide Key Risk and Control Self-Assessment initiatives for Data and AI, and coordinate data and AI audits, compliance reviews and inspections</li></ul> Leadership, Reporting &amp; Culture <ul><li>Own the governance KPI metrics, dashboards, and reporting for executive stakeholders</li><li>Serve as the senior liaison between business units and technology on governance requirements</li><li>Be an agent of change inculcating data and AI governance culture and discipline across the organisation</li></ul> Requirements: <ul><li>Bachelors degree in Computer Science, Information Management, Data/Analytics, Engineering, Law, or a related discipline; a relevant postgraduate qualification is an advantage.</li><li>Ongoing commitment to training and professional development.</li><li>At least 8 years of working experience in data management, including 5 or more years leading Data Governance, Data Quality or Master Data Management programmes in multi-entity or regulated organisations.</li><li>Extensive knowledge of data and AI regulatory, standards, and compliance requirements.</li><li>Experience in AI or model governance, model risk management or responsible-AI programmes, including generative AI; exposure to agentic AI governance is an advantage.</li><li>Proven track record standing up or transforming a governance function and operating model.</li><li>Good understanding of risk management and compliance frameworks and related disciplines such as risk and control self-assessment.</li><li>Experience in designing and delivering a Master Data Management capability.</li><li>Strong hands-on technical fluency: proficient in SQL with working Python; credible with modern data catalogues (e.g. DataHub, Microsoft Purview), data quality frameworks, data contracts and lineage, policy-as-code access models and Git / pull-request-based delivery.</li><li>Relevant certifications such as Certified Data Management Professional (CDMP), Certified Information Management Professional (CIMP) or Certified Information Systems Auditor (CISA) are strongly preferred.</li><li>Excellent written and oral communication; skilled at authoring policies, standards, guidelines and executive materials that business and engineering teams can act on.</li></ul>

Role Description: <ul><li>The AI Analytics &amp; Value Realization Engineer is responsible for ensuring AI initiatives deliver measurable business value across ICT Engineering.</li><li>The role establishes value measurement frameworks, validates benefits, develops performance dashboards, and enables data-driven decision making across the AI portfolio. This position serves as the primary subject-matter expert for AI adoption measurement, business impact reporting, value realization tracking, and portfolio analytics</li></ul> Responsibilities: Value Definition &amp; Business Case Support <ul><li>Partner with AI Transformation Engineers during opportunity assessments.</li><li>Establish baseline metrics, value hypotheses, and expected business outcomes.</li><li>Define standardized measurement methodologies and evidence requirements for AI initiatives, distinguishing between forecast, validated, realized, and sustained business value.</li><li>Develop approaches for measuring engineering productivity and operational benefits, including time savings, cycle-time reduction, quality improvement, throughput, and adoption where direct financial measurement is not feasible.</li><li>Challenge assumptions and ensure value estimates are fact-based and measurable.</li></ul> Portfolio Measurement &amp; Reporting <ul><li>Develop and maintain AI portfolio dashboards and KPI reporting.</li><li>Track solution adoption, utilization, and business impact.</li><li>Collect and analyze deployment performance data.</li><li>Ensure consistent reporting across all AI initiatives.</li><li>Generate monthly reporting for ICT Engineering leadership, ICT AI leadership, and segment AI leadership.</li></ul> Value Realization &amp; Validation <ul><li>Validate achievement of project objectives and business benefits.</li><li>Monitor sustainability of realized benefits after deployment.</li><li>Identify underperforming initiatives and recommend corrective actions.</li><li>Support prioritization decisions using objective performance and value data.</li><li>Develop standardized value realization methodologies and reporting processes.</li><li>Design measurement approaches that compare pre- and post-deployment performance and provide credible evidence that observed improvements are attributable to deployed solutions.</li></ul> Advanced Analytics <ul><li>Perform portfolio analytics and trend analysis.</li><li>Support executive decision-making with actionable insights.</li><li>Maintain data quality and governance standards for AI program reporting.</li><li>Build Power BI dashboards and reporting solutions.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering, Data Analytics, Business Analytics, Statistics, or related field.</li><li>Experience with analytics and visualization tools such as Power BI, including dashboard development, KPI reporting, and data analysis.</li><li>Strong analytical and quantitative problem-solving skills.</li><li>Experience developing and maintaining business metrics and measurement frameworks.</li><li>Experience establishing performance baselines and designing measurement approaches to evaluate the impact of implemented solutions.</li><li>Ability to translate complex data into actionable business insights.</li><li>Knowledge of engineering, technology, or transformation programs preferred.</li><li>Strong communication and executive presentation skills.</li></ul>

Responsibilities: <ul><li>Select the desired employees and develop, implement, and monitor the programs and processes used in recruitment and selection.&nbsp;</li><li>They source, recruit, screen, interview and recommend external and/or internal candidates to staff open requisitions.&nbsp;</li><li>Utilize the services of employment agencies and/or place employment ads in appropriate sources, including the intranet, Internet, and print media.&nbsp;</li><li>Responsible for developing and implementing recruiting plans and administering talent management efforts and employee referral programs, managing the resume tracking system and ensuring consistent corporate image throughout recruiting campaigns.&nbsp;</li><li>Lead end-to-end recruitment, ensuring alignment with organizational strategy and culture.</li><li>Manage end-to-end hiring process: Source, resume screen, phone screen, schedule interviews, Offer documentation and onboarding</li></ul> Requirements: <ul><li>Minimum 6+ years of experience required for this role.</li><li>Should possess expert knowledge and innovative skills to source and attract active &amp; passive talent from different sourcing channels (job boards, social media, referrals and local outreach to identify potential candidates</li><li>Communication and Stakeholder management is key to be successful in this role as you work with global stakeholders and matrix organization</li><li>Good understanding of the engineering manufacturing industries in the local market, able to map talents, develop business intelligence for sourcing strategies and techniques</li></ul> Qualification <ul><li>Experience in handling end-to-end Talent Attraction Process [Source to Onboard]</li><li>Be able to develop Recruiting Strategies basis the skill demand and complexities</li><li>Expert knowledge and Hands-on in preparing market research, Market/Talent mapping using various tools such as Talent Neuron, Draup, LinkedIn Talent Insight</li><li>Data driven: able to analyse, slice &amp; dice data, develop insights from data and be able to make decisions to drive hiring strategies</li></ul>

Responsibilities: Regional Sales Management Key Activities:&nbsp; <ul><li>Comprehensive understanding of customer’s market dynamic, regulatory environment, channel structure, segment trends, competitive environment and decision making network in Latin America.</li><li>Develop relationships with customers, prospects and participate in key customer meetings with Regional Sales team.</li><li>Identify and penetrate white-space markets where Our client has limited or no presence, creating a country-by-country access strategy for priority accounts, channels, and decision makers.</li><li>Generate new business and manage the full sales activity to maximize sales opportunities.</li><li>Engage with key accounts and maintain effective customer relationships.</li><li>Provide insights and updates on customers, prospects, market access barriers, competitor positioning, pricing and regional growth opportunities .</li></ul> Sales Planning and Market Development Key Activities: <ul><li>Promote our client value proposition and market presence in priority Latin America countries, with particular focus on underpenetrated and high-potential white-space markets.</li><li>Promote and sell our client solutions by establishing key contracts and developing relationships with target customers.</li><li>Build and maintain a regional stakeholder map covering manufacturers, converters, distributors, tobacco/nicotine industry contacts, packaging players, agents, and other relevant commercial stakeholders.</li><li>Generate new enquiries from existing customers, prospecting of new customers.</li><li>Identify and create new opportunities and pipelines to deliver growth in revenue and profitability.</li><li>Conduct customer preparation and market segmentation matrix</li><li>Perform market trend analysis and competitor activity in the region</li><li>Present relevant products and participate in regional sales meetings</li><li>Translate informal market signals into commercial strategies, including demand capture, customer education, channel selection</li></ul> Performance Management Key Activities: <ul><li>Monitor performance against the annual plan, pipeline targets, opportunity conversion and white space market entry and penetration through salesforce.</li><li>Monthly customers performance progress tracking against monthly forecast and budget&nbsp;</li><li>Work closely with customers to provide forecast and demand.</li><li>Create and execute actions to address underperformance and stimulate sales activity.</li><li>Identify underperformance root causes by country, account, channel, pricing, access, supply, or competitive factor, and execute corrective actions.</li></ul> Requirements: <ul><li>Existing commercial network in Latin America, ideally including tobacco manufacturers, packaging/converting companies, distributors, agents, or related industry stakeholders.</li><li>Experience in tobacco, nicotine, or adjacent regulated industries is strongly preferred. Candidates from tobacco leaf, cigarette manufacturing, filters, packaging, paper, machinery, distribution, or trade-marketing environments may be particularly relevant.</li><li>Bachelor’s degree (preferably in Engineering, Business, or Marketing).</li><li>10 years of industrial B2B technical sales experience.&nbsp;</li><li>Strong analytical, presentation, and communication skills.</li><li>Fluent in English and Spanish. Portuguese is a strong advantage.</li><li>Detail-oriented, self-motivated, and able to manage multiple priorities.</li><li>Willing to travel frequently.</li><li>Strong understanding of sales, supply chain, and customer service processes.</li><li>Creative and strategic thinker with a passion for business growth.</li><li>Comfortable operating in ambiguous markets where reliable data may be limited and where success depends on local intelligence, trusted relationships, persistence, and disciplined qualification.</li></ul>

Responsibilities: Disruptive Pathfinding &amp; Technology Development <ul><li>Drive long-range (N+2 and beyond) pathfinding exploration in advanced packaging, identifying key inflection points in interconnect scaling, materials, and integration architectures.</li><li>Lead hands-on development and feasibility studies for novel packaging concepts, including but not limited to D2W, RDL, CoWoS, TSV, and heterogeneous integration schemes.</li><li>Develop and validate new integration approaches (e.g., mixed interconnect architectures, advanced bumping strategies, next-gen substrates).</li><li>Perform deep technical analysis and trade-off assessments to guide design, process integration, and technology selection decisions.</li><li>Contribute to make/buy/partner evaluations through technical insights and benchmarking of emerging solutions.</li></ul> Technical Innovation &amp; Execution <ul><li>Own key technical modules or integration challenges within pathfinding programs, driving concept-to-demonstration execution.</li><li>Design and execute experiments, simulations, and test vehicles to validate new ideas and reduce technical risk.</li><li>Develop scaling frameworks and design–process co-optimization strategies to meet future performance, cost, and reliability requirements.</li><li>Translate innovative concepts into clear technical deliverables, including models, prototypes, and demonstration vehicles.</li><li>Document and communicate findings to influence technology roadmap decisions and downstream development programs.</li></ul> Customer &amp; Market Alignment <ul><li>Engage with internal and external stakeholders to translate customer requirements and system trends (AI, HPC, memory integration, chiplets) into actionable technical problems.</li><li>Identify latent technical challenges and gaps in current packaging approaches and propose novel solutions.</li><li>Contribute to value proposition development by linking technical innovation to performance, cost, and scalability benefits.</li></ul> Ecosystem Collaboration <ul><li>Work closely with materials suppliers, equipment teams, OSATs, foundries, and research partners to co-develop and validate new technologies.</li><li>Support joint development efforts and early-stage collaborations, contributing technical expertise and insights.</li><li>Leverage ecosystem capabilities to accelerate learning cycles and de-risk new concepts.</li></ul> Program Contribution &amp; Technical Leadership <ul><li>Contribute to early-stage governance and decision frameworks by providing data-driven technical recommendations.</li><li>Influence cross-functional teams (process, product, integration) to align on technology direction and development priorities.</li><li>Develop executive-ready technical narratives that clearly articulate innovation value, risks, and trade-offs.</li><li>Mentor junior engineers and contribute to building technical depth and innovation culture within the team.</li></ul> Leadership Expectations <ul><li>Deep Technical Expert: Recognized for strong domain expertise in advanced packaging and integration.</li><li>Innovation Driver: Generates and executes breakthrough ideas with measurable technical impact.</li><li>Influencer: Drives alignment and decisions across teams without formal authority.</li><li>Problem Solver: Thrives in ambiguity, breaking down complex challenges into actionable solutions.</li><li>Collaborator: Effectively works across organizational and ecosystem boundaries.</li></ul> Requirements: <ul><li>10–15+ years of experience in semiconductor technology, with strong exposure to advanced packaging, process integration, or related domains.</li><li>Demonstrated experience in technology development, pathfinding, or exploratory R&amp;D.</li><li>Strong understanding of advanced packaging technologies (RDL, TSV, CoWoS, hybrid bonding, etc.).</li><li>Proven ability to solve complex technical problems and translate concepts into experimental validation.</li><li>Strong communication skills to articulate technical insights and business relevance.</li></ul>

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84 insights Jobs found

Channel Sales Manager

Associate, Investment Finance, Global Investment Services

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Principal/Staff Engineer – Firmware Development

Front End Central Product Integration (FE CPIE) MTS (FE)

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Sales Manager

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

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Channel Sales Manager

Associate, Investment Finance, Global Investment Services

Senior Engineer, Global Facilities Central Engineering, Construction - Mechanical

Principal/Staff Engineer – Firmware Development

Front End Central Product Integration (FE CPIE) MTS (FE)

Lead, Data & AI Governance

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Sales Manager

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

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