Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Analytical Editorial Operations Manager

Regulatory Affairs Representative I

Hybrid Bonding Technology Development Engineer - Wet Clean

Legal Workflow Specialist

Forward Deployed AI Strategist

Principal/Staff Engineer - Process Development, CVD/Diffusion

Commercial Finance Manager

Data & ML Architect

Responsibilities: <ul><li>Lead Media Health Manufacturing activities for DRAM, Interface Die, and stacked HBM products.</li><li>Optimize manufacturing test coverage for current and future HBM architectures and process nodes.</li><li>Develop, validate, characterize, and qualify next-generation HBM products.</li><li>Support design verification and circuit debug using CAD tools and Verilog simulations.</li><li>Improve manufacturing yield, reduce test time, and optimize device reliability.</li><li>Drive root-cause analysis and resolution of manufacturing test flow, qualification, and RMA issues.</li><li>Promote innovation in Design-for-Test (DFT), manufacturing strategy, and test optimization.</li><li>Mentor engineers and develop technical and project management capabilities within the team.</li><li>Lead technical decision-making, risk analysis, and project prioritization.</li><li>Collaborate with Fab, HBM Technology Development, Design, System Development, Test Solution Engineering, and Quality/Reliability teams.</li></ul> Requirements: <ul><li>Bachelors or Masters Degree in Electrical &amp; Electronics Engineering.</li><li>8+ years of semiconductor industry experience with Product Engineering experience preferred.</li><li>Strong leadership, circuit analysis, and root-cause problem-solving skills.</li><li>Knowledge of statistics, scripting, and data analysis tools.</li><li>Ability to adapt to technical leadership and people leadership responsibilities.</li><li>Proven collaboration across cross-functional engineering organizations.</li><li>Strong accountability, communication, and presentation skills.</li><li>Passion for mentoring and developing engineering talent.</li><li>Willingness to work onsite in Singapore and travel internationally (US, Taiwan, Japan).</li></ul>

Responsibilities: <ul><li>Develop and enable advanced package technologies for post-fab wafer finish and assembly processes.</li><li>Improve product quality, yield, productivity, and manufacturing cost.</li><li>Partner with process and product engineering teams to integrate semiconductor technologies.</li><li>Drive yield improvements through package integration innovation, layout optimization, design improvements, and process margin enhancement.</li><li>Collect and analyze data to support design, layout, and integration flow decisions.</li><li>Collaborate with Probe, Yield Analysis, Test, Product Engineering, PWF Engineering, Assembly Engineering, Front-End Wafer Fab, Assembly/Test Engineering, and Global Quality teams.</li><li>Ensure robust quality through process monitoring, inspection, testing, SPC, DOE, and defect analysis.</li><li>Support product transition from development through qualification into High Volume Manufacturing (HVM).</li><li>Provide Process of Record (POR) and Model of Record (MOR) documentation.</li></ul> Requirements: <ul><li>B.S./M.S./Ph.D. (or equivalent) in Electrical, Mechanical, Chemical Engineering, Physics, Materials Science, or related discipline.</li><li>2+ years of semiconductor process integration experience, preferably in advanced packaging, post-fab wafer finishing, or assembly processes.</li><li>Proficiency in Python, R, and SQL.</li><li>Experience with Visual Basic.</li><li>Knowledge of E3, FDC, and RMS (Recipe Management System).</li><li>Strong statistical analysis, process modeling, SPC, DOE, defect analysis, and dashboarding skills.</li><li>Strong understanding of semiconductor process flows and integration.</li><li>Strong root-cause analysis and complex problem-solving capability.</li><li>Ability to work under tight timelines and limited resources.</li></ul>

Responsibilities: <ul><li>Lead a team of UK-based editors to create, maintain, and deliver exceptional analytical content for Legal and Tax Markets portfolios, as well as for Halsbury’s Laws of England and the Stair Memorial Encyclopaedia of the Laws of Scotland.</li><li>Lead adoption of AI as a core component of editorial workflows, guiding the team to leverage LLMs and AI-enabled tools to drive efficiency, scale, and content innovation; document and iterate prompts, and apply strong editorial judgment to validate, refine, and continuously improve outputs for publication and stakeholder use.</li><li>Set and elevate expectations for team performance and operational success; own, drive and articulate performance KPIs, manage metrics dashboards and production schedules; set and track productivity goals; and take decisive action to ensure content meets quality, timeliness, and completeness targets.</li><li>Support the development of an integrated global team, influencing stakeholders across regions to maximise operational value through shared best practices, tools, and the continuous improvement of digital and print workflows.</li><li>Develop a cross-trained team across UK analytical editorial operations functions, enabling flexibility to respond to changing priorities and workload demands within and across business units.</li><li>Conduct regular coaching sessions, mid-year reviews, and annual evaluations, building a high-performing, accountable team and fostering a culture of continuous improvement, collaboration, and innovation.</li><li>Collaborate closely with commercial (in-market) stakeholders and Global Operations and Global Tech teams, ensuring editorial operations are aligned to global priorities, customer needs, and product performance.&nbsp;</li></ul> Requirements: <ul><li>Bachelors degree in law preferred.</li><li>Candidate must reside in the United Kingdom.</li><li>6+ years of people management experience required.</li><li>Hands-on experience deploying AI in workflows (content/knowledge domain preferred), translating use cases into scalable operating models with a focus on measuring impact on quality, throughput, and risk.</li><li>Proficient in Microsoft Suite, including Excel and PowerPoint; experience using project management software such as Monday.com or Asana; XML a plus.</li><li>Publishing or content experience preferred.</li><li>Change management experience preferred.</li></ul> Skills: <ul><li>Strong interpersonal, communication, and presentation skills; ability to synthesise relevant information for Global Editorial Operations and commercial leaders and your team.</li><li>Collaborative management style with ability to lead cross-functional, team-based, deadline-intensive strategic initiatives and delivery.</li><li>Business/commercial acumen; data analysis.</li><li>Excellent organization/project planning and time management.</li><li>Strong process-orientation (developing consistent processes, documenting best practices, etc.).</li><li>Experience leading teams through organizational transformation, operating effectively in environments where priorities, processes, and ways of working continue to evolve.</li></ul>

Responsibilities:&nbsp;&nbsp; <ul><li>Assists in the planning, development, maintenance, and implementation of the SDS authoring process.</li><li>Partners across all areas of expertise within the PSRA organization to monitor, promote, and deliver high quality, and fully compliant SDSs.</li><li>Identifies key measures to assist in driving continuous improvements and adherence to applicable regulatory requirements.</li><li>Actively fosters an organizational culture that is based on collaboration, partnership, innovation, customer service, driving change, and teamwork.</li><li>SDS and label data maintenance for new and existing products, intermediates and experimental products. Position works under direct supervision as needed.</li><li>Maintain regulatory and compositional information from raw materials suppliers and our businesses.</li><li>Manage our translation process with a 3rd party vendor.</li><li>Enter and maintain hazard assessment and regulatory data into product compliance support and MSDS authoring systems.</li><li>Provide internal and external customer support related to hazard communication including SDS distribution.</li><li>Actively participate in projects to continue to maintain compliance with global hazard communication regulations and related regulatory requirements.</li><li>Use product compliance tools to retrieve/query production models, specifications, recipes, labeling information, global database searches.</li><li>Support Product Stewardship and Regulatory Affairs activities.</li><li>Assist in special assignments and accepting new responsibilities as needed. External Use</li><li>Contribute to group projects by offering proposed solutions to problems and methods to accomplish the goals of the Product Stewardship and Regulatory Affairs Group.</li></ul> Requirements: Basic Qualifications:&nbsp; <ul><li>Associate degree in chemistry, Biological Sciences, Toxicology or HSE related field or equivalent experience in these fields.</li><li>Zero to two years of relevant experience.</li><li>Knowledge of MS excel, spreadsheet software, SAP like tools or similar Applications.</li></ul> Preferred Qualifications:&nbsp; <ul><li>Ability to multi-task and adapt to changing work priorities in a dynamic environment.</li><li>Strong interpersonal skills required to facilitate team building and partnering with colleagues and peers.</li><li>Ability to focus on details, work autonomously and lead projects.</li><li>SAP EHS module experience a plus.</li><li>Results driven with excellent communication skills.</li><li>Ability to handle multiple tasks/priorities and deal with ambiguity to meet specified deadlines.</li><li>Good analytical, problem solving and organizational skills.</li><li>Self-motivated, detail-oriented and comfortable working in a team environment.</li><li>Experience with innovative methodology for capturing and identifying metrics of key performance indicators.&nbsp;&nbsp;</li></ul>

Responsibilities: <ul><li>Design, collect data, analyze, and compile reports on difficult process engineering experiments. Measure film and surface properties, and interpret data.&nbsp;</li><li>Optimize process to push product performance to HW limit.</li><li>Generate innovative ideas to tackle challenges in hybrid bonding enablement. Guide engineering on prototyping. Perform hardware characterization on a variety of difficult systems.</li><li>Implement new technology, products, and analytical instrumentation.</li><li>Troubleshoot complex problems, perform root cause analysis, and resolve a variety of difficult process engineering issues.</li><li>Generate internal documentation for products, presentations, and technical reports.</li><li>Communicate and engage with customers to resolve complex process engineering issues or concerns, under limited supervision.</li><li>Identify, select, and partner with vendors and suppliers.</li><li>Serve as a resource for junior colleagues; lead project teams, as needed</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field. Higher education is a bonus.</li><li>3-7 years of related experience .</li><li>Demonstrates conceptual and practical expertise in complex problem solving.</li><li>Innovative &amp; can think out of the box. Passionate on going through iterative process/hardware development testing &amp; learning cycles.</li></ul>

Responsibilities: <ul><li>Design and deliver onboarding tailored to South African firms, practice groups, and in‑house legal teams.</li><li>Lead interactive training sessions that demonstrate AI‑enabled workflows across research, drafting, review, and knowledge management</li><li>Create clear, practical training materials, including guides and short videos.</li><li>Engaging in-house legal teams to understand their daily workflows and creating tailored AI solutions (e.g., Protégé Workflows) to enhance existing processes, improve outcomes, and increase productivity and ROI.</li><li>Monitor product usage across SA clients and drive increased utilisation, particularly in high‑volume corporate, regulatory, and litigation practices.</li><li>Identify adoption obstacles specific to SA legal environments</li><li>Demonstrate measurable client value, including efficiency gains, quality improvements, risk reduction and consistency.</li><li>Work with customers to understand existing processes and design improved, AI‑supported workflows.</li><li>Configure workflows to align with client preferences, practice‑area needs, and organisational standards.</li><li>Share proven approaches and best practices to support learning across the customer base.</li><li>Represent customer perspectives internally, translating feedback into clear, practical insights.</li><li>Partner with product and development teams to inform future improvements.</li><li>Support testing of new features, focusing on usability, accuracy, and real‑world application.</li></ul> Requirements: <ul><li>Admitted Attorney (LLB required; articles completed).</li><li>2–5+ years post‑admission</li><li>Exposure to complex legal workflows—corporate, commercial, litigation, regulatory or similar.( advantageous)</li><li>Confidence communicating with a range of stakeholders and delivering clear, engaging presentations or training</li><li>Ability to “translate” legal workflows into repeatable, technology‑enabled processes.</li><li>An interest in legal technology and curiosity about how AI can support better legal outcomes</li><li>Excellent relationship‑building, active listening and stakeholder‑management skills.</li><li>Data‑driven mindset with the ability to articulate value and ROI</li></ul>

Role Description: <ul><li>The Strategy team is looking for a hands-on AI-enabled strategy and market intelligence professional to materially accelerate the way we conduct deep research, market intelligence, analytical modeling, and GTM analysis by applying high impact AI workflows and translating them into sharper strategic decisions.</li><li>The individual will partner with business, product, commercial, and tech teams to translate ambiguous questions into actionable insights, while developing and scaling AI-enabled solutions that improve strategic decision-making and drive measurable business impact.&nbsp;</li><li>The individual is expected to work in close partnership with our client IT team, to leverage existing AI &amp; data capabilities on Databricks &amp; AWS (where applicable) while developing solutions.</li></ul> Responsibilities: Strategic problem solving and driving cross-functional execution&nbsp; <ul><li>Translate AI-assisted analyses into practical executive decisions by applying strong business judgment, rigorous validation protocols, and a sharp “so-what” orientation</li><li>Collaborate with and influence senior stakeholders across strategy, sales, technology teams, and P&amp;L owners</li><li>Good first-principles and problem-solving capabilities with the ability to build and test strategic hypotheses Identifying meaningful opportunities to leverage AI and deploying scaled AI solutions at pace</li></ul> Identify, assess, and prioritize high-value AI and automation opportunities by translating business challenges into scalable, practical solutions&nbsp; <ul><li>Design proprietary AI-enabled workflows, agents, and accelerators for recurring strategy activities (competitor monitoring, earnings call tracking, tariff and regulatory intelligence, voice-of-customer mining etc.)</li><li>Build reusable templates, workflows, and modules to drive adoption and embed AI capabilities into strategy processes</li></ul> Executing rapid AI-augmented research and competitive intelligence&nbsp; <ul><li>Lead AI-augmented research using tools like Claude, OpenAI, Perplexity, AlphaSense, CapIQ etc. to deliver source-triangulated competitive and industry insights</li><li>Synthesize structured datasets (S&amp;P Capital IQ, Bloomberg, IDC, Gartner) and unstructured sources (10-Ks, analyst reports, expert interviews) – to generate and validate AI-assisted outputs</li></ul> Support strategy team in day-to-day execution by leveraging AI-led tools <ul><li>Lead AI-enabled market sizing, opportunity mapping, and TAM/SAM/PAM modelling</li><li>Accelerate financial modelling – scenario and sensitivity analyses, valuation, NPV/IRR, segment P&amp;Ls, pricing</li><li>Support M&amp;A pipeline by AI-screening targets and generating investment theses</li></ul> AI enablement, coaching and continuous innovation <ul><li>Coach strategy team members on prompting techniques, research workflows, and AI-fluent execution</li><li>Scale AI adoption across Corporate Strategy through hands-on mentorship of beginner users</li><li>Stay current on agentic stacks, multimodal models, and deep research agents</li></ul> Requirements: Skillset and capabilities AI fluency and hands-on deployment orientation&nbsp; <ul><li>Working knowledge of GenAI patterns – LLM capabilities/limitations, prompt design, etc.</li><li>Proven ability to convert business problems into reusable AI workflows, tools, or accelerators</li><li>Builder mindset with experience prototyping AI solutions using frontier tools &amp; low-code platforms</li></ul> Analytics, modelling, and research excellence <ul><li>Strong modelling skills across TAM/SAM/PAM, scenarios, sensitivities, NPV/IRR, valuation etc.</li><li>Ability to synthesize structured datasets with unstructured sources</li><li>Research discipline – source triangulation and rigorous validation of AI outputs</li></ul> Strategic problem solving, communication, executive presence, and influence&nbsp; <ul><li>Sharp "so-what" orientation to translate AI outputs into practical executive decisions</li><li>Crisp written and verbal communication, with ability to frame board-ready narratives</li><li>Skill in explaining AI workflows and implications to both technical and non-technical audiences</li><li>Stakeholder management across strategy, commercial, data, and technology teams</li></ul> Ownership, and execution <ul><li>Independently own workstreams end-to-end – from framing through deployment</li><li>High bar for quality; never publishes unchecked AI outputs or unvalidated analysis</li></ul> Coaching and capability building&nbsp; <ul><li>Patience and ability to coach colleagues on prompting, research workflows, and source validation</li><li>Track record of building reusable playbooks – templates and training modules that scale adoption</li></ul> Passion, curiosity, and learning agility <ul><li>Deep passion for AI, tech, and industrial innovation, with curiosity to stay current on frontier tools</li><li>Entrepreneurial ownership mindset and drive to build a new AI-enabled strategy capability</li></ul> Qualifications:&nbsp; <ul><li>BE / B-Tech in Computer Science Engineering, Data Science or a related analytical field required; MBA, MS, M-Tech or equivalent advanced degree strongly preferred.</li><li>3–4+ years of experience in AI transformation, analytics, or AI-enabled business building. Prior Forward Deployed Engineer / Solutions Architect / Senior Data Scientist background preferred.</li><li>Experience in a top-tier strategy consulting firm, AI-native consulting team, analytics firm or corporate / product strategy team role strongly preferred.</li><li>Demonstrated experience building or deploying 0–1 AI solutions (not just experimenting), GenAI, analytics, automation, or workflow solutions in a business environment required.</li><li>Proficiency in Excel and PowerPoint required; Python or equivalent scripting capability strongly preferred. Experience with DevOps, CI/CD pipelines, and infra as code (e.g., Jenkins, Docker, Kubernetes) required.</li><li>Proficient in implementing AI platforms like AWS Bedrock, LangGraph, Crew AI, Glean etc.</li><li>Knowledge of enterprise data environments (esp. SAP, Databricks) or cloud platforms (esp. AWS) is a plus. Experience integrating AI systems with enterprise data platforms required.</li><li>Experience with LLM-powered solutions, RAG systems, agentic workflows, AI research tools, or AI-enabled knowledge manage</li></ul>

Responsibilities: <ul><li>Develop and optimize unit processes to meet yield and quality targets for advanced NAND devices</li><li>Evaluate innovative process and equipment solutions for early experimentation and process margin improvement</li><li>Collaborate with Singapore-based Diffusion manufacturing teams to identify and prioritize key technology challenges</li><li>Integrate and troubleshoot processes within cross-functional teams focused on yield and quality enhancement</li><li>Partner with Boise TD Films teams to align future device requirements with process capabilities</li><li>Identify disruptive process technologies early and define viable implementation paths with global TD and manufacturing teams</li><li>Conduct fundamental research, hardware evaluations, and novel process testing to support intellectual property generation</li><li>Design and execute experiments to expand process margins and validate manufacturability of next-node solutions</li><li>Lead cross-functional initiatives to simplify processes and implement improvements</li><li>Embed best-known manufacturing practices into early-stage development of new nodes</li><li>Develop and apply advanced process monitoring and control methodologies.</li><li>Serve as a technical expert, contributing to process, equipment, and procedural improvements</li><li>Lead multidisciplinary projects across teams, sites, and suppliers focused on quality, yield, cost, and productivity</li><li>Advise management on significant technical issues and drive innovation through patents and technical publications</li><li>Maintain strict adherence to our client Intellectual Property protection policies</li><li>Engage continuously with global TD partners and suppliers to push for breakthrough solutions</li><li>Own and manage module-level business processes</li></ul> Requirements: <ul><li>Bachelor/Masters in Materials Science, Electrical/Electronics, Chemical, Microelectronic Engineering, Physics with minimum 5 years of relevant experience or PhD in Materials Science, Electrical/Electronics, Chemical, Microelectronic Engineering, Physics</li></ul> Strong understanding of: <ul><li>Flow dynamics, thermodynamics, and physical phenomena in deposition</li><li>Precursor depletion effects in 3D structures and mitigation strategies</li><li>Interface characterization techniques (e.g., SIMS, XPS, EDX, SEM/TEM)</li><li>Integration and structural constraints in film deposition processes</li><li>Memory process flows, especially for planar and vertical NAND</li><li>Proficiency in data analysis tools (e.g., Y3) and Design of Experiments (DoE)</li><li>Excellent communication skills for both in-person and remote interactions</li><li>Self-motivated, adaptable, and capable of managing multiple projects in a dynamic environment</li></ul>

Responsibilities: <ul><li>Own Managerial P&amp;L planning and forecasting, delivering accurate and documented forecasts and budgets</li><li>Lead and own the India FP&amp;A calendar (cross functional view – connected with S&amp;OP and Regional timeline)</li><li>Accountable for managerial P&amp;L reporting in Campari group consolidation system.</li><li>Provide visibility on P&amp;L by SKU / brand / state / channel / customer down to GP and/or CAAP and by account.</li><li>Manage SG&amp;A in collaboration with functional leaders.</li><li>Provide clarity on business performance drivers and variations vs previous forecasts, Budget and prior years</li><li>Pilar of the S&amp;OP process, leading the Volume to value conversion and ensure consistency with commercial planning.</li><li>Provide management relevant and accurate analytics providing visibility on the R&amp;O and as such, enabling effective business decisions.</li><li>Secure integrity of the Depletions/sell out reporting by brand, by state, by channel.</li><li>Understand COGS variances in collaboration with regional supply chain finance team</li><li>Work in close collaboration with controlling team to secure DD and A&amp;P accruals accuracy, documentation and relevance at all time.</li><li>Support Revenue Optimization agenda, partnering commercial team to optimize revenue performance by customers/distributors/channel and maximize profitability.</li><li>Drive internal control &amp; operating efficiency of the promotional program and trade spend.</li><li>Support Key Account managers for trade terms negotiation, providing relevant analytics.</li><li>Develop standardized Value Chain supporting commercial team needs</li><li>Develop sound and reasonable business case for innovation/new product launch/footprint expansion</li><li>Drive ROI analysis for all key initiatives – maximization of investment, share learnings.</li><li>Continually work with functional teams to drive profitable growth and strive for continuous ongoing improvement.</li><li>Drive initiatives through increased focus on the effectiveness and profitability of sales spend and through the proactive identification of profit/growth opportunities.</li><li>Represent finance and challenge financial efficacy in key cross functional forums like Exec reviews, valuation meetings.</li><li>Develop tools to support cross functional team work and decision making and help improvement of internal processes.</li><li>Support projects led by group aiming at improving analytics and efficiencies across finance</li></ul> Requirements: <ul><li>8-10 years experience in commercial finance and FP&amp;A role. Ideally close working experience with sales and marketing/ supply chain in a commercial capacity, preferably in the liquor industry or FMCG.</li><li>Qualification – Chartered Accountant</li><li>Experience in Liquor industry preferred, FMCG essential</li><li>Advanced excel and strong power-point skills</li><li>SAP, Power BI, BPC&nbsp;</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>

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26 innovation Jobs found

Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Analytical Editorial Operations Manager

Regulatory Affairs Representative I

Hybrid Bonding Technology Development Engineer - Wet Clean

Legal Workflow Specialist

Forward Deployed AI Strategist

Principal/Staff Engineer - Process Development, CVD/Diffusion

Commercial Finance Manager

Data & ML Architect

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26 innovation Jobs found

Principal Engineer/MTS – Member of Technical Staff, HIG-HBM Product System Engineering (Media Health)

Principal/Senior Engineer, APTD CEM - Advanced Packaging Integration Engineering

Analytical Editorial Operations Manager

Regulatory Affairs Representative I

Hybrid Bonding Technology Development Engineer - Wet Clean

Legal Workflow Specialist

Forward Deployed AI Strategist

Principal/Staff Engineer - Process Development, CVD/Diffusion

Commercial Finance Manager

Data & ML Architect

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.