Fronted End Central Process Integration Senior Engineer

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

MTS – FECOS CPIE Device

Receptionist

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist  VP2

Responsibilities: <ul><li>Collaborate with multi-functional network teams from PIE, Process &amp; Equipment Engineering, WLR, TD to improve product yields and reliability within your assigned process loop.</li><li>May require travel to global company sites to foster collaboration and drive execution.</li><li>Communicate module related issues to the Fab engineering and leadership teams.</li><li>Design, execute, and analyze experiments to improve fab process, yield, and quality.</li><li>Collect and interpret complex data to optimize Fab processes and increase yields.</li><li>Engage and/or lead cross-area engineering teams to tackle process issues.</li><li>Work closely with global partners to stay ahead of on module related topics and process alignment projects.</li><li>Collaborate with other PI module owners and sister fabs to drive business process alignment</li><li>Partner with IE, Process and Equipment Engineering and Production to better forecast and balance yield, output and process issues</li><li>Promote network synergy through improved benchmarking and standardization of known engineering best-known methods (BKMs), business process.</li></ul> Requirements: <ul><li>Bachelor’s or advanced degree in Engineering or Science is required</li><li>Strong analytical, logical, and critical thinking skills</li><li>Effective communicator, able to collaborate across all levels</li><li>Growth mindset with a passion for continuous learning</li><li>Internship or experience in the semiconductor industry is a plus</li><li>Demonstrated leadership and a track record of impact are highly desirable</li><li>Interest in and knowledge of the semiconductor industry and company is preferred.</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: <ul><li>Enable technology ramp in high-volume production for CMOS and memory devices.</li><li>Improve device performance with a focus on variability reduction and robustness.</li><li>Support and execute design and test optimization to enhance manufacturability and performance.</li><li>Identify and implement process simplification and working methodology improvements.</li><li>Lead or actively contribute to cross-functional problem-solving for device, yield, and quality issues.</li></ul> Requirements: <ul><li>Minimum 5 years of relevant working experience is requiredA masters or Ph.Ddegree in Physics or Engineering areas is preferred.</li><li>Working experience in wafer fab process or process integration engineeringDirect experience in advanced CMOS device technology such as FinFET or GAA is preferable.</li><li>Proven knowledge in semiconductor physics and understanding of transistor operations, scaling limitations and reliability, basic knowledge of CMOS circuits and characterisation methods.</li><li>Understanding of wafer fabrication process areas, including tool sets, process mechanisms, tuning knobs, etc.</li><li>Excellent data analysis skills using software (JMP, SPOTFIRE, etc).</li><li>Strong task ownership, self-motivated to work with other team members to make progress collaboratively.</li><li>Open-minded attitude to learn new skills and could adapt to a new working environment swiftly.</li><li>Good digital literacy with MS OfficeProgramming capability such as Python is a plus.</li><li>Occasional international business travel is required for this position.</li></ul>

﻿Responsibilities: <ul><li>Welcome and professionally engage guests upon arrival.</li><li>Complete check-in and check-out procedures accurately and efficiently.</li><li>Provide personalized service to luxury, VIP, and international guests.</li><li>Manage guest requests, questions, complaints, and service-recovery situations.</li><li>Handle reservations, room allocations, billing, and guest profiles accurately.</li><li>Coordinate with Housekeeping, Concierge, Bell Desk, Reservations, Guest Relations, and other hotel departments.</li><li>Maintain accurate records in the property-management system.</li><li>Communicate hotel facilities, services, policies, and local information clearly.</li><li>Identify opportunities to enhance the guest experience and promote hotel services.</li><li>Handle confidential guest information professionally and discreetly.</li><li>Support smooth front-office operations during busy periods.</li><li>Follow Jumeirah’s grooming, appearance, safety, and service standards.</li><li>Demonstrate cultural awareness when assisting guests from different countries and backgrounds.</li></ul> Requirements: <ul><li>Previous experience as a Receptionist, Front Desk Agent, Guest Service Agent, Guest Relations Agent, or similar front-office professional.</li><li>Experience in a luxury or ultra-luxury hotel, resort, branded residence, or comparable high-end hospitality environment.</li><li>Strong exposure to guest service, VIP service, and international clientele.</li><li>Excellent spoken and written English communication skills.</li><li>One additional language at C1 level.</li><li>Preferred additional languages include Russian, Spanish, French, Italian, German, Dutch, Greek, Portuguese, Mandarin/Chinese, and Japanese.</li><li>Excellent grooming and professional presentation.</li><li>Strong interpersonal, communication, and problem-solving skills.</li><li>Ability to work in a fast-paced, multicultural, guest-facing environment.</li><li>Availability to work shifts, weekends, and public holidays.</li><li>A clear, professional photograph must be included on the CV.</li><li>Candidates must be eligible to work in the UAE or be willing to relocate.</li></ul>

Responsibilities: <ul><li>Provide vision, leadership, and strategic direction for data engineers to deliver modern, high-quality data pipelines, models, and products, while fostering</li><li>innovation and new approaches to solving enterprise technical challenges.</li><li>Lead cloud data transformation and migration initiatives, helping define target-state cloud data engineering standards while ensuring solutions are resilient, scalable, high-performing, cost-optimized, and secure.</li><li>Drive data engineering excellence through AI adoption, automation, reusable frameworks, pipeline standardization, testing automation, and continuous</li><li>improvement to reduce complexity, increase consistency, and accelerate delivery.</li><li>Establish and advance best practices for data ingestion, transformation, standardization, productization, data quality, metadata management, lineage,</li><li>observability, orchestration, automated deployment, data protection, and secure data consumption.</li><li>Oversee the development of best-in-class data models and testing practices that are aligned to business objectives and enable trusted, consistent, secure, and easily usable data across the enterprise.</li><li>Partner with company leaders, the Data Office, Supervisory Affairs, Risk &amp; Compliance, other process owners, and other Technology and Business</li><li>stakeholders to ensure strategic data solutions sufficiently mitigate risk, strengthen controls, and respond to regulatory expectations.</li><li>Champion agile delivery with the Office of Agile and cross-functional teams using SAFe methods, managing execution across multiple priorities, projects, and release trains while proactively addressing dependencies, risks, and issues.</li><li>Develop, coach, and retain a high-performing team through skill development, career growth, inclusive leadership, succession planning, and ongoing focus on</li><li>team effectiveness.</li><li>Perform other duties and/or special projects as assigned.</li></ul> Requirements: <ul><li>Bachelors Degree and a minimum of 12 years of IT experience, OR in lieu of a Degree minimum of 14 years of experience in an IT environment</li><li>Minimum of 5 years of data engineering experience leveraging public cloud capabilities.</li><li>Minimum of 7 years of experience in a large complex organization</li><li>Minimum of 9 years of Demonstrated experience leading data engineering delivery for enterprise-scale data platforms, pipelines, data models, or analytic products.</li><li>Ability to communicate complex technical concepts clearly to business, technology, risk, and executive stakeholders</li></ul>

Role Description: <ul><li>Automotive Industry offers products for vehicle electrification systems like chassis systems, convenience applications, driver information, infotainment solutions, miniaturization solutions, motor and powertrain applications etc.&nbsp;</li><li>The client Automotive BU is focused on developing new and improved vehicle architecture approaches to efficiently address these challenges in Connectivity from power to propulsion and safety.&nbsp;</li><li>The Manager R&amp;D Product development contributes to the development of organizational strategy and supports in implementation of operational plans.</li><li>Being part of Product development team responsible to develop for new products and sustenance of existing product lines of Automotive business unit of client.</li><li>This position drives development of PCB connectors for automotive applications including Board to Board, Wire to Board and Flex to Board connectors.</li></ul> Responsibilities: <ul><li>Managing experienced professional and/or supervisors who exercise independence in their assignments and providing them with the required guidance and also be a strong technical contributor.</li><li>Providing strategic leadership to foster growth of the business.</li><li>Interacting and cooperating with multiple organizational levels to meet schedule and technical expectations.</li><li>Administrating schedules and ensuring performance requirements.</li><li>Providing knowledge of engineering tools such as Creo, etc. and product domain expertise in multiple projects.</li><li>Assist Inside Device Connectivity (InDeCo) engineering teams with New Product Developments across a range of projects and executing on cost optimization/reduction (VA/VE) opportunities for the business.</li><li>Preparing design verification test plans, Design &amp; Process FMEAs.</li><li>Successfully facilitate transfer and support of new product introduction (NPI) into high volume manufacturing.</li><li>Contributing to technical function initiatives across various initiatives.</li><li>Reverse Engineering and benchmarking of competitor products.</li><li>Support product environmental compliance and approvals for all new products and platforms as required by our customers.</li><li>Be a strong technical partner and provide support to Product management teams.</li><li>Attend/support customer meetings, technology days and site visits as required.</li></ul> Requirements: <ul><li>Master’s degree in mechanical engineering or equivalent is preferred with minimum 8 years of experience in related fields.</li><li>Mechanical or equivalent engineering Degree with minimum 10 years of related product development experience.&nbsp;</li><li>Experience with product design of PCB Connector such as Board to Board, Flex to Board, Wire to Board is essential.</li><li>Knowledge in product design of plastic, terminals (sheet metal), fine pitch connectors, rubber components.</li><li>Working knowledge of driving diversity and inclusion, customer/market focus, result orientation, managing multiple priorities, envisioning the future, coaching and developing people and collaborating across boundaries</li><li>Extensive experience executing plans in a disciplined way and in holding people accountable.</li><li>Organized, methodical and self-motivated individual.</li><li>A person with the ability to achieve goals and the highest standards of performance in a dynamic fast paced environment.</li><li>Attention to detail and on time delivery.</li><li>Excellent judgment, timely and high-quality decision-making skills.</li><li>Proven ability to execute engineering deliverables.</li><li>Strong customer service mindset and mentality of delivering quality products and services on time and within company cost and profitability objectives.</li><li>Fluent communication skills facilitate collaboration with own team, customers, internal business leaders and technology leaders to create value.</li><li>Individual must be self-motivated, have strong planning skills and be able to deal with and balance multiple competing priorities.</li></ul> Functional: Mandatory: <ul><li>Working knowledge of product development (Processes, Approaches, Tools and Techniques) &amp; Validation</li><li>Working knowledge of manufacturing processes like injection Mold, plating, assembly &amp; High-speed stamping</li><li>Working knowledge to apply Six Sigma / DFSS methodology to design, development, and delivery of technology products and process.</li><li>Working knowledge in use of CAD systems (CREO Part modeling &amp; Sheet Metal)</li><li>Interpretation of simulation results &amp; translating into product design</li><li>Working knowledge in Design for Manufacturability (DFM) &amp; FMEA&nbsp;</li><li>Proficient in Tolerance stack-up and GD&amp;T</li><li>Ability to generate design concepts and solve design problems&nbsp;</li><li>Working knowledge in prototyping methods</li><li>Working knowledge in Manufacturing process (Molding / Stamping / Plating)</li><li>Understanding of linear and non-linear analysis</li><li>Working knowledge of product life cycle.</li><li>Basic Knowledge in quality tools (8D, Why Why analysis, Fish bone….)</li><li>Awareness of recognition &amp; protection of IP (intellectual property) features</li><li>Basic knowledge of PPAP documentation.</li></ul> Preferred: <ul><li>Knowledge of customer application&nbsp;</li><li>Experience in development of automotive signal and power connectors.</li></ul> Department specific: <ul><li>Exposure to PCB Connector design</li><li>Ability to understand specifications for validation as per US CAR / LV 214 / Similar Specification</li><li>Knowledge about crimping technologies, Ultrasonic welding technologies, Laser welding technologies</li></ul>

Role Description: <ul><li>Responsible for sales and business development for Two-Wheeler (2W) OEM customers within clients Automotive Business Unit.</li><li>Drive key account growth, customer acquisition, and execution of Component Aggregate Manufacturer (CAM) and Harness Maker (HM) development strategies.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Drive revenue growth for assigned 2W OEM accounts across Karnataka &amp; Tamil Nadu Region</li><li>Develop and execute account strategies aligned with Automotive BU objectives</li><li>Maintain strong relationships with key stakeholders across OEMs including procurement, engineering, and program teams&nbsp;</li><li>Identify and develop new business opportunities with 2W OEMs and emerging EV players&nbsp;</li><li>Lead Component Aggregate Manufacturer (CAM) engagement activities including RFQs, pricing, negotiations, and contract closure&nbsp;</li><li>Collaborate with engineering and product teams for new product introductions and customization&nbsp;</li><li>Drive Harness Maker (HM) ecosystem development for increased wallet share&nbsp;</li><li>Track market trends, competitor activity, and customer strategy in 2W segment&nbsp;</li><li>Ensure accurate sales forecasting and pipeline management&nbsp;</li><li>Drive design-in activities and support project lifecycle from concept to SOP</li><li>Intensive travel &amp; expected to be at customer’s location (more than 75% working days) within Karnataka &amp; Tamil Nadu Region</li></ul> Key Performance Indicators (KPIs)&nbsp; <ul><li>Retention and growth of existing business across assigned accounts&nbsp;</li><li>Comprehensive competition mapping and strategic counter-planning&nbsp;</li><li>Deep understanding and effective promotion of our client portfolio&nbsp;</li><li>Driving new product development (NPD) aligned with customer needs&nbsp;</li><li>Achieve and exceed revenue growth targets year-on-year&nbsp;</li><li>Maintain healthy Accounts Receivable (AR) and ensure timely collections&nbsp;</li><li>Build and sustain a strong 5-year revenue pipeline&nbsp;</li><li>Identify, understand, and capitalize on future trends in the 2W (ICE &amp; EV) industry&nbsp;</li><li>Increase our client content per vehicle/platform&nbsp;</li><li>Coordinate with cross-functional teams (CFTs) to drive new project wins and execution&nbsp;</li><li>Strong understanding of 2W ICE and EV architectures to enable solution selling&nbsp;</li></ul> Requirements:&nbsp; Qualifications &amp; Experience&nbsp; <ul><li>Bachelor’s degree in Engineering (Mechanical/Electrical/Electronics preferred); MBA is a plus&nbsp;</li><li>5-10 years of experience in automotive sales/business development&nbsp;</li><li>Strong exposure to Two-Wheeler OEMs in India&nbsp;</li><li>Experience in connectors, wiring harness, or automotive components preferred&nbsp;</li><li>Proven track record in key account management and business growth&nbsp;</li></ul> Skills&nbsp; <ul><li>Strong negotiation and influencing skills&nbsp;</li><li>Excellent relationship management&nbsp;</li><li>Strategic thinking and execution&nbsp;</li><li>Technical understanding of automotive electrical/electronic systems&nbsp;</li><li>Strong communication and presentation skills&nbsp;</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: &nbsp;<ul><li>Lead, mentor, and grow a team of 4-5 ML engineers.</li><li>Provide architectural direction and code-level guidance.</li><li>Establish engineering best practices for ML system design, testing, and deployment.</li><li>Conduct design reviews, performance reviews, and technical roadmap planning.</li><li>Architect distributed ML systems serving multiple global products.</li><li>Standardize infrastructure patterns for LLM serving and retrieval systems.</li><li>Define and implement enterprise-ready agentic frameworks.</li><li>Architect multi-step reasoning systems.</li><li>Lead decisions on deterministic workflows vs. autonomous agents.</li><li>Implement guardrails, safety layers, and traceability mechanisms.</li><li>Develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability.</li><li>Establish CI/CD standards for ML lifecycle management.</li><li>Ensure compliance with enterprise data governance and responsible AI standards.</li></ul>&nbsp;Requirements &nbsp;<ul><li>8-10 years of Machine Learning/Software Engineer experience</li><li>2-3 years of people management experience.</li><li>Master’s degree or bachelors degree, computer science degree is highly desirable.</li><li>Strong software engineering background with experience in building system design, architecting AI feature/products that caters large number of users and deals with large volume of unstructured data.</li></ul>

Responsibilities: <ul><li>Administer and support enterprise monitoring platforms and tools.</li><li>Define and implement monitoring standards, metrics, thresholds, and alerts.</li><li>Develop and maintain monitoring dashboards and reporting solutions.</li><li>Monitor application performance, system health, and service availability across enterprise environments.</li><li>Analyze monitoring data, identify trends, and proactively address potential issues.</li><li>Troubleshoot monitoring platform issues and work closely with support teams to resolve incidents.</li><li>Collaborate with application, infrastructure, and operations teams to improve monitoring coverage and effectiveness.</li><li>Drive continuous improvement initiatives in monitoring and observability practices.</li></ul> Requirements: <ul><li>Minimum 12 years of overall IT experience.</li><li>6-9 years of hands-on experience in Application Performance Monitoring (APM) or Observability.</li><li>Strong administration experience with monitoring tools such as:&nbsp;</li><li>Geneos</li><li>Grafana</li><li>Prometheus</li><li>Dynatrace and/or Datadog</li><li>AWS monitoring services</li><li>Experience creating and maintaining dashboards using Grafana, Power BI, SharePoint, or similar platforms.</li><li>Strong understanding of application performance, availability, capacity, and infrastructure monitoring.</li><li>Experience configuring monitoring rules, thresholds, alerts, and notification workflows.</li><li>Knowledge of incident management and ticketing tools such as Remedy and JIRA.</li><li>Strong troubleshooting, analytical, and stakeholder management skills.</li></ul>

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272 aci structural design standards Jobs found

Fronted End Central Process Integration Senior Engineer

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

MTS – FECOS CPIE Device

Receptionist

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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272 aci structural design standards Jobs found

Fronted End Central Process Integration Senior Engineer

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

MTS – FECOS CPIE Device

Receptionist

VP, Senior Data Engineering Manager

Manager I - R&D Product Development Engineering

Regional Manager – South India

AI Analytics and Visualization Engineer

Machine Learning Engineer Lead

Application Performance Monitoring Lead Specialist VP2

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

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