Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AI / ML Engineer

Production Manager

Senior Manufacturing Engineer

Key Account Manager - North

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 Transformation Engineer is responsible for identifying, evaluating, and deploying AI-enabled solutions that improve engineering productivity, accelerate development activities, and enhance decision-making across ICT Engineering.</li><li>The role serves as the bridge between engineering teams, AI technical specialists, and business stakeholders to ensure AI opportunities are translated into measurable business outcomes. This position leads the implementation lifecycle of approved AI initiatives, from opportunity assessment through deployment and value realization.</li><li>The role focuses primarily on engineering workflows, knowledge work, and business processes where AI can eliminate non-value-added activities, improve engineering effectiveness, and reduce time-to-market.</li></ul> Responsibilities: ﻿Opportunity Identification &amp; Assessment <ul><li>Partner with engineering teams to identify productivity challenges, workflow inefficiencies, and opportunities for AI-enabled improvement.</li><li>Analyze current-state engineering processes and determine the potential value of AI solutions.</li><li>Gather business requirements and define desired outcomes.</li><li>Partner with AI technical specialists to assess technical feasibility and solution options.</li><li>Work with the AI Value Realization Engineer to establish baseline measurements, value estimates, success criteria, and evidence requirements.</li><li>Provide use-case requirements, value assumptions, and implementation estimates to support prioritization and business-case development.</li><li>Determine whether identified opportunities are best addressed through AI, conventional automation, process improvement, or a combination of approaches.</li></ul> Solution Delivery &amp; Deployment <ul><li>Lead execution of approved AI initiatives from pilot through full deployment.</li><li>Coordinate stakeholders across engineering, digital technology, AI development teams, and subject matter experts.</li><li>Manage pilots, validation activities, user testing, and deployment readiness.</li><li>Drive user adoption and organizational change management activities.</li><li>Ensure solutions deliver expected business outcomes and user value.</li><li>Rapidly prototype and evaluate AI-enabled workflows using available enterprise AI platforms, low-code/no-code tools, and workflow automation technologies.</li></ul> Value Realization <ul><li>Own achievement of approved project objectives and targeted business benefits.</li><li>Monitor adoption, usage, and performance of deployed solutions.</li><li>Identify and resolve barriers to implementation success.</li><li>Partner with the AI Value Realization Engineer to validate benefits and track realized value.</li></ul> Requirements: Experience &amp; Qualifications <ul><li>Bachelors degree in Engineering or related technical discipline.</li><li>5+ years of engineering, product development, manufacturing engineering, or related experience.</li><li>Strong understanding of engineering workflows and development processes.</li><li>Experience leading cross-functional projects and driving organizational change.</li><li>Ability to translate business challenges into actionable improvement opportunities.</li><li>Strong communication, facilitation, and stakeholder management skills.</li><li>Demonstrated passion for AI and digital transformation.</li><li>Practical experience applying AI, automation, or digital technologies to engineering or business problems; experience with generative AI, LLMs, AI agents, or workflow automation preferred.</li><li>Experience rapidly prototyping and evaluating AI-enabled workflows using enterprise AI platforms, low-code/no-code tools, or workflow automation technologies.</li><li>Working understanding of LLM capabilities and limitations, including common failure modes, validation approaches, and human-in-the-loop considerations.</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: 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>

Responsibilities: <ul><li>Lead the design and architect solutions that meet SYF business requirements to deliver business value by enabling rapid innovation through modern software development practices and product delivery through rapid innovation and continuous integration. In-depth knowledge of credit application and web application platforms.</li><li>Perform Technology Alternate Assessment, create Proof-of-Concept (as necessary) Provides guidance and direction to product teams to ensure compliance with the standards and best practices Work collaboratively with Product Management and Platform Engineering teams during development, launch and continuing refinement of products iteratively</li><li>Lead Agile sprints as the technical expert, including sprint planning, daily standups, backlog grooming sessions, and sprint reviews Influence and collaborate with software developers, UX designers, product managers, application architects, and customer application experts to create high performing and reliable application components.</li><li>Work with third party vendors to develop software and/or integrate their software into the companys products</li><li>Drive a CI/CD strategy using our Jenkins, Bitbucket, and uDeploy stack.</li><li>Maintain deep hands-on technical knowledge of evaluating trends in modern software development practices.</li></ul> Requirements: <ul><li>Bachelor’s degree and a minimum 7 years of experience with software engineering OR, in lieu of degree 9 years of experience with software engineering.</li><li>5+ years of applied Java experience</li><li>5+ years of hands-on experience in Credit Card Acquisition platform with ample knowledge in credit card application processing and decisioning systems.</li><li>Experience in Front End UI (JavaScript/Typescript) development and Backend Java programming.</li><li>Critical Thinking, creativity and problem-solving skills.</li><li>Strong analytical and problem-solving skills.</li><li>Excellence in technical communication with technical and non-technical peers.</li><li>Basic understanding of Artificial Intelligence.</li></ul>

Responsibilities: <ul><li>Design and development of robust, efficient and real-time algorithms for Analysis and Classification of Medical Images using state-of-art techniques from Image Processing, Pattern Recognition, Computer Vision and Machine Learning.&nbsp;</li><li>Development of innovative solutions for various problems related to Segmentation, Detection, classification and quantification of high resolution (~50K x 50K) coloured images for applications in Digital Pathology.&nbsp;</li><li>Design of efficient models in Machine Learning / Deep Learning for accurate analysis and classification of High resolution Images.&nbsp;</li><li>To learn and update oneself on the emerging trends of technology and apply them in the projects for better results leading to publications and patents.&nbsp;</li><li>Explore new areas of Expert Systems, Cognitive Computing, Artificial Intelligence, Computational Photography etc.&nbsp;</li><li>Define and estimate technical solutions, document technical approach options and recommendations.</li></ul> Requirements: <ul><li>PhD / M. Tech. / M.E. / M.C.A. (preferably from CSE / IT / ECE / EE background)&nbsp;</li><li>B. Tech. / B.E. with exceptional academic/professional background&nbsp;</li><li>Image Processing, Pattern Recognition, Computer Vision&nbsp;</li><li>Machine Learning, Deep Learning&nbsp;</li><li>Experience with Medical Image Processing is an added advantage&nbsp;</li><li>Hands-on experience in developing and implementing Image Processing and Machine Learning algorithms&nbsp;</li><li>Strong programming knowledge in Pytorch, Tensorflow&nbsp;</li><li>Hands-on experience in using Deep Learning frameworks and libraries&nbsp;</li><li>Concepts of parallel architecture on GPU is an added advantage</li><li>Should have 4+ years of experience in Image Processing, Segmentation, Pattern recognition, Computer Vision, Machine Learning, Image Processing, Object Detection, Pytorch, Tensorflow</li></ul>

Responsibilities: <ul><li>Lead and manage daily production operations to ensure safety, quality, delivery, and cost targets are achieved.</li><li>Drive continuous improvement initiatives, including Lean Manufacturing, Six Sigma, and Kaizen activities.</li><li>Develop and implement production plans, schedules, and resource allocation to meet customer demand.</li><li>Ensure compliance with company standards, regulatory requirements, and environmental health &amp; safety (EHS) policies.</li><li>Foster a culture of teamwork, accountability, and high performance across production teams.</li><li>Monitor production KPIs (efficiency, scrap, downtime, OEE) and implement corrective actions where necessary.</li><li>Collaborate with cross-functional teams (Engineering, Quality, Supply Chain, Maintenance) to resolve issues and support operational excellence.</li><li>Lead, coach, and develop production supervisors, line leaders, and technicians to build strong leadership capability.</li><li>Support new product introductions (NPI) and transfer projects with minimal disruption to ongoing operations.</li><li>Manage production budgets, manpower planning, and cost optimization initiatives.</li></ul> Requirements: <ul><li>Bachelor’s Degree in Engineering, Manufacturing, or related field.</li><li>Minimum 8–10 years of manufacturing experience, with at least 5 years in a leadership/managerial role.</li><li>Strong background in Lean Manufacturing, Continuous Improvement, and EHS compliance.</li><li>Experience in high-volume manufacturing (preferably cable, electronics, or related industries).</li><li>Excellent leadership, communication, and problem-solving skills.</li><li>Ability to work under pressure and manage multiple priorities.</li><li>Proficiency in English; Mandarin is an added advantage.</li></ul>

Role Description: <ul><li>Manufacturing engineer is responsible for preparing the process sheets, tool design, establish overall strategic goals &amp; objectives of Manufacturing Engineering in alignment with organizational goals.&nbsp;</li><li>This role will be an individual contributor, which reports to MGR I MFG &amp; Process development engineer.&nbsp;</li></ul> Responsibilities:&nbsp; <ul><li>Analyze new technology and manufacturing processes. Plan and assess the feasibility of new and running projects.</li><li>Ensure good interfaces between Production, Production Planning, Engineering, QC and other functions.</li><li>Plan, design, and monitor manufacturing improvement processes using work study techniques.</li><li>Ensure Day to day accountability &amp; support Production team to achieve targets by process improvements, training, FAI etc.&nbsp;&nbsp;</li><li>Develop new process and create all process documents like PFC, PFMEA, Control plan and SOP by understanding the depth of product requirements.&nbsp;</li><li>Vendor management, Programming, Installation, and commissioning of new Equipment’s and co-ordinate with CFT for complete process validation.&nbsp;</li><li>NPI/NPD projects execution, development and creation of all required FAI documentations and approvals.&nbsp;</li><li>Implement Process monitoring and Control (SPC &amp; SQC), quality traceability Systems using IOT technology.&nbsp;</li><li>Create, Maintain &amp; Control all the programming software’s and production control documents for Auditing.&nbsp;</li><li>Vendor management and subcon handling and support for external projects.&nbsp;</li><li>Support production team to achieve day wise plan.&nbsp;</li><li>Prepare CT &amp; Investment for new product and work to reduce cost by optimization/automating process.&nbsp;</li><li>Responsible for ordering spares and vendor management, down time reduction Capacity &amp; Layout planning/execution for new product line.&nbsp;</li><li>Support manufacturing for Continuous Improvement, quality issues on the shopfloor, new launches, engineering changes.&nbsp;</li><li>Develop and implement systems that optimize all phases of production process. Conduct Root-Cause Analysis.&nbsp;&nbsp;</li><li>Review designs for manufacturing feasibility, suggest changes to the design to ensure product cost effectiveness.&nbsp;</li></ul> Requirements:&nbsp; <ul><li>BE/ B. Tech (Industrial/Electronics, Mechanical).</li><li>Minimum 7 to 9 years of industrial experience with 4 years of project management experience.</li><li>Experience in quality &amp; productivity improvement projects.</li><li>Experience in New product development from scratch i.e. customer order to Production handover.</li></ul>

Role Description: <ul><li>Key Account Manager, North India – Industrial &amp; Commercial Transportation BU is responsible for maximizing the revenue growth of ICT BU’s Customers in North India region.&nbsp;</li><li>The role is responsible to execute the sales process and implementation of business unit strategy at the customer interface.</li><li>Developing lasting customer relationships to identify business trends &amp; driving growth programs such as design-in, drop-in &amp; share gain.</li><li>The role is also responsible for new customer development &amp; activities such as tradeshows/seminars/technology Days.</li></ul> BU/Function Description <ul><li>Offers a complete portfolio of Connectivity, Sensing, Switching &amp; Protection solutions for the Truck &amp; Bus, Construction, Agriculture, Recreation &amp; Marine markets.</li><li>World leadership in rough and rugged connectivity, and our innovation in transformational new areas such as electrification,makes us the partner of choice for vehicles where reliability is critical, and failure is not an option.</li></ul> Responsibilities: <ul><li>Key Responsibilities of KAM, North India – ICT BU is framed our client SET Methodology – Strategy, Execution, Talent.&nbsp;</li></ul> Strategy <ul><li>Develop and maintain strategic long-term business relationships with respective accounts (all decision makers) to promote.</li><li>Responsible to develop, implement &amp; monitor Sales and Account Management Strategies (including pricing implementation)</li><li>New Business Development, Identify &amp; attract new customers, pursue new applications, leading to profitable future business</li><li>Drive initiatives to improve profitability/share gains by implementing value add value engineering (VAVE) measures and value sharing with respective OEMs.</li><li>Competition analysis and landscaping</li></ul> Execution <ul><li>Responsible for financial performance to achieve agreed-on targets</li><li>Provide accurate sales forecast, supporting efficient planning of RM</li><li>Responsible for efficient management of receivables / payment collection</li><li>Negotiate and close deals or contracts with customers and provide operational guidance and support to relevant functional departments, to ensure smooth implementation</li><li>Preparation of detailed account plan for key accounts</li><li>Responsible for consistently adding new opportunities and growing the opportunity funnel</li><li>Responsible for managing the opportunities at each stage – from concept to production by collaborating across teams</li><li>Responsible for managing key metrics in SFDC such as pipeline, conversion, must wins</li><li>Delivering Extraordinary Customer experience to ICT customers</li></ul> Talent <ul><li>Work closely with regional / global team for effective cross collaboration</li><li>Key Stakeholder Management internally within and across the Key Accounts</li></ul>&nbsp;Requirements: <ul><li>BE / BTech Mechanical, Electrical, Electronics, Electronics and Communication, Mechatronics. MBA preferred but not compulsory.</li><li>Overall 5-8 years of Experience</li><li>Combination of Sales, Operations, Engineering experience preferred</li><li>Candidate should be from an automotive component supplier background</li></ul>

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80 subject matter expert electronics Jobs found

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AI / ML Engineer

Production Manager

Senior Manufacturing Engineer

Key Account Manager - North

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80 subject matter expert electronics Jobs found

Regional Manager – South India

AI Transformation Engineer

AI Analytics and Visualization Engineer

Talent Acquisition Specialist

Senior Member of Technical Staff (Advanced Packaging Pathfinding)

Assistant Vice President - Principal Engineer

AI / ML Engineer

Production Manager

Senior Manufacturing Engineer

Key Account Manager - North

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