61 Jmp Jobs

Lillyu2019s Purposeu00A0 u00A0 Come bring to life technologies to lead in Pharma-tech! u00A0 The Enterprise Data platforms enable the platform has developed an integrated and intuitive data bases, integration and analytics platform. This platform enables Lilly business functions enables quickly utilize the database services , integration services and analytics platform. u00A0 u00A0 What you will be doing: u00A0 The Associate Director u2013 Analytic Platform Services & SRE will lead the operations, reliability, and performance engineering of enterprise analytics platforms, enabling self-service analytics, AI/ML model deployment, and data-driven insights across the organization . u00A0 This role is pivotal in managing hybrid analytics ecosystems including Power BI, Azure Fabric, SAS, Business Objects, JMP, AI/ML, Databricks, Snowflake, and AWS SageMaker Studio , ensuring scalability, reliability, security, and compliance in a highly regulated pharmaceutical environment. u00A0 The ideal candidate blends technical expertise in analytics and AI platforms with Site Reliability Engineering (SRE) principles , enabling innovation at scale for research, clinical, manufacturing, and commercial functions. u00A0 u00A0 How you will succeed:u00A0 u00A0 Strategic Leadership : u00A0 Define and execute the analytics platform operations and SRE strategy , aligning with enterprise data and digital transformation roadmaps. u00A0 Partner with enterprise architects, data scientists, and business stakeholders to scale analytics, AI/ML, and visualization capabilities for Finance, LRL , clinical trials, manufacturing, and commercial operations. u00A0 Evaluate emerging cloud-native analytics and AI tools to ensure platforms remain future-ready and cost-efficient . u00A0 Operations & Platform Management u00A0 O versee the day-to-day operations of analytics platforms including Power BI, Azure Fabric, Databricks, Snowflake, and AWS SageMaker Studio . u00A0 Drive automation and Infrastructure-as-Code ( IaC ) for platform provisioning, scaling, and configuration management. u00A0 Ensure high availability, low latency, and optimized query performance across all platforms to support advanced analytics workloads. u00A0 Build and maintain data pipelines and integrations to unify data from Finance, clinical, lab, manufacturing, and commercial systems into analytics-ready formats u00A0 SRE & Reliability Engineering u00A0 Establish observability frameworks for analytics platforms with metrics, logging, and tracing for proactive performance monitoring. u00A0 Define and track SLOs, SLIs, and SLAs for platform reliability and performance. u00A0 Implement incident management, root cause analysis, and blameless post-mortems to improve Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR). u00A0 Develop self-healing mechanisms and automate capacity planning for scalable platform operations. u00A0 Security, Compliance & Governance u00A0 Ensure GxP and SOX compliance across analytics environments, particularly for sensitive Finance , clinical and manufacturing datasets. u00A0 Implement strong identity and access management , role-based permissions, and data masking controls for governed analytics environments. u00A0 Collaborate with InfoSec and Data Governance teams to enforce data lineage, data cataloging, and audit-readiness . u00A0 Team Leadership & Collaboration u00A0 Lead, mentor, and grow a global team of analytics engineers, SRE specialists, and platform administrators . u00A0 Foster a data-driven culture by enabling self-service analytics and democratized insights across business units. u00A0 Collaborate closely with data science, AI/ML engineering, and business analytics teams to enable seamless deployment of predictive and prescriptive models . u00A0 Provide operational playbooks and governance frameworks to standardize platform management. u00A0 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lillyu00A0does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status. #WeAreLilly

As a Quality/Process Excellence Manager at Capgemini, you will be responsible for leading and managing initiatives for large engagements. Your key responsibilities will include: - Experience in managing Quality/Process Excellence initiatives, with a focus on Six Sigma and Lean projects. - Leadership ability to implement Six Sigma projects directed by Master Black Belts (MBB). - Comfortable with managing and driving complex process changes. - Worked in cross-functional teams and demonstrated the ability to drive process improvements. - Regular communication to report on Lean Six Sigma and other improvement initiatives at the project/engagement level for better outcomes. To succeed in this role, you should possess the following qualifications: - Valid Lean Six Sigma Green Belt (LSS GB) and Lean Six Sigma Black Belt (LSS BB) certificates. - Good exposure in Lean Six Sigma DMAIC project implementation. - Strong business acumen and understanding of key IT business requirements. - Clear and effective communication skills to lead as a Six Sigma leader, mentor, coach, and trainer. - Ability to communicate effectively with both the C-suite and project teams. - Proficiency in problem-solving and presentation skills. - Knowledge of advanced statistical tools like Minitab tool, JMP, etc., for tasks such as DOE, AVOVA, simulation, etc. - Understanding of basic and advanced statistical techniques using Minitab tools. - Experience as an LSS Trainer at Yellow Belt (YB) and Green Belt (GB) levels. At Capgemini, you will enjoy a supportive and inclusive work environment where individuals from all backgrounds are valued. You will have the opportunity to bring your authentic self to work and participate in various activities such as musical performances by the in-house band, internal sports events, yoga challenges, and marathons. Additionally, you will work on cutting-edge projects in technology and engineering, collaborating with industry leaders to address societal and environmental challenges. Capgemini is a global business and technology transformation partner with a strong legacy of over 55 years, trusted by clients worldwide to deliver end-to-end services and solutions. Join us in accelerating the transition to a digital and sustainable world while making a tangible impact on enterprises and society.,

Location: Bangalore,IND Key Skillsets Deep knowledge of Design for Reliability (DfR) and its application in product development life cycle Expertise in Life Data analysis, Reliability Growth, Availability / Maintainability Modeling and Prediction with strong Reliability Engineering fundamentals Proficient with Reliability tools like Reliasoft & Windchill Quality - Weibull Analysis, Blocksim, Lambda Predict, Reliability Block Diagram (RBD), Reliability Growth Analysis (RGA), Fault Tree Analysis (FTA), HALT, Accelerated Life Test (ALT), Repairable system analysis by using NHPP function, Spare parts & Warranty estimation, AFT modeling and Availability & Maintainability modeling Experience in driving FMEA and other risk analysis methods in product development process Deep knowledge of Prediction standards like MIL-HDBK-217, Telcordia SR-332, NPRD, EPRD and its application in Predictive modeling Deep understanding of reliability data, analysis and interpretation of product life, growth and other reliability parameters Knowledge of statistical methods and tools (e.g. JMP, Minitab) Communicate effectively with global cross-functional teams (at different time zones) Collaborate with internal and external stakeholders Job Specific Knowledge Proficiency in Mechanical design engineering with a good understanding of system engineering. Knowledge of Mechanical & Electro-Mechanical components, Manufacturing methods and related Failure Mechanisms / Physics of failure Knowledge in Risk assessment and SEMI standards: Experienced In system level architectural design. Exmechanical, electrical, control and SW architecture Experience in automation software (e.g. LabVIEW) & Control System Design. Knowledge of industry test standards (e.g. IEC, UL etc.) Hands-on experience with sensors (e.g. temperature, pressure, flow, vibration, motion detection etc.) and related Data Acquisition Systems (DAQ) Knowledge of destructive and non-destructive test methods and failure analysis Experience in Semiconductor equipment or similar high-tech industry is preferable Skills Hands-on individual with willingness to work in a competitive lab environment High morality with Strong work ethics Excellent team player with collaborative behavior Strong skills in problem solving / troubleshooting Excellent oral and written communication skills Willingness to work with different time zones and with various cultural backgrounds Ability to independently prioritize tasks and drive multiple projects in parallel Willingness to travel up to 10% (international and domestic) Education B. Tech / M. Tech /PhD in Mechanical / Electronics / Mechatronics Engineering with 8-10 years of relevant industry & Reliability Engineering experience Certified Reliability Engineer (CRE) preferred Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Yes, 10% of the Time Relocation Eligible: Yes

Roles and Responsibility Define product requirements documents (PRD) and MVP (MVP stands for Minimum Viable Product) Customer requestsprocess customer requests and design them to best fit our tool architecture Concept and FeasibilityOur product managers aspire for data driven decisions. As such, we collect the relevant data, analyze it using advanced methodologies, and conclude decisions which drive our roadmap to the best possible Return on Investment Act as central resource between field and internal RnD to drive feature development life cycle Application valueValue verification upon dev completion Field expert supportAct as a 3rd level support in their expertise domain, keeping us close to the customer and maintaining in-depth understanding of customer problems and needs Field betaplan the content of the beta at first customers Our Ideal Candidate Strong technical background Ability to manage multiple stakeholders across disciplines and geographies in matrix environment Excellent communication and presentation skills More than 6 years of experience in hands-on semiconductor process, inspection and/or metrology domain is a must. Solid Data analysis skillsetstatistical tests, distributions and data interpretation techniques, Python programing and data visualization tools like Tableau JMP or PowerBI Qualifications Minimum qualificationMasters in Technology in engineering discipline Additional Qualifications: Matlab, python scripting skills are a plus Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities. Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: Relocation Eligible: No

Job description Job Summary We are seeking a skilled In Vitro Statistician with 5 - 10 years of experience to support our research and development teams in statistical analysis of in vitro studies. The ideal candidate will be responsible for designing experiments, analyzing data, and providing statistical insights to support decision-making in pharmaceutical, biotechnology, or life sciences research. Key Responsibilities: Design, develop, and analyze in vitro study experiments, ensuring statistical rigor and accuracy. Apply appropriate statistical models and methodologies for data interpretation. Work closely with scientists, biologists, and researchers to provide statistical guidance in study design and result evaluation. Utilize statistical software (e.g., SAS, R, JMP, or Python) to conduct data analysis, visualization, and reporting. Validate and verify data integrity, ensuring compliance with regulatory guidelines (FDA, ICH, GLP). Develop and review statistical analysis plans (SAPs), study protocols, and technical reports. Support regulatory submissions by preparing statistical documentation and reports. Stay updated with the latest statistical methods and best practices in in vitro research. Required Qualifications & Skills: Masters or Ph.D. in Statistics, Biostatistics, Bioinformatics, or a related field. 5 - 10 years of experience in statistical analysis of in vitro studies, preferably in the pharmaceutical, biotechnology, or life sciences sector. Strong knowledge of experimental design, regression models, ANOVA, DOE, and multivariate analysis. Proficiency in statistical software (SAS, R, JMP, Python, or equivalent). Experience with data visualization, trend analysis, and predictive modeling. Understanding of regulatory requirements and compliance standards (FDA, ICH, GLP). Excellent communication skills to present findings to cross-functional teams. Strong problem-solving skills and attention to detail. Preferred Qualifications: Experience in bioassays, pharmacokinetics, biomarker analysis, or toxicology studies. Familiarity with machine learning and AI-based statistical modeling. Knowledge of clinical and preclinical statistical applications.

Overview This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%).This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results.This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCos innovation in processing/packaging.

Role & responsibilities Full PE product lifecycle ownership from concept to end of life with a focus on ensuring the delivery of the highest quality products to our end customers Definition of ATE test, qualification and manufacturing plans Product release into manufacturing with adherence to stringent tier 1-customer requirements Datasheet and automotive compliance reports Real time customer support for design, product and quality related issues Temperature/Voltage/Process characterization and production limit setting Product new product introduction and yield ownership Product BOM release and maintenance Excursion management for both suppliers and customers Use commercially available yield tools for yield improvement and monitoring, generate weekly reports and review with PE teams KPI achievement in product related deliverables including NPI execution and velocity, product cost (Gross margin improvements), product quality performance and failure analysis cycle times PAT, SYL, SBL, SPC limit and disposition optimizations to protect quality without excessive waste Preferred candidate profile 10+ years experience in product engineering. A strong analog circuit background is a must. Familiarity with power management IC testing would be a plus Familiarity with ATE tester platforms (eg. Teradyne J750, iFlex, Advantest 93K) Knowledge of analog and mix-signal circuitry and the common building blocks, device physics, test methodology and DFT knowledge Experience with common lab test equipment (DC power supply, oscilloscope, multi-meters etc). Bench characterization experience is a plus Familiarity with JEDEC/AEC qualification standards and stress test conditions. Experience with qual hardware/software development would be preferred Experience in yield management tools such as PDF Exensio, JMP. Apply statistical analysis to isolate the issue and make data-driven decisions Ability to managing supplier excursions and customer escalations through problem solving Knowledge of Semiconductor Failure Analysis is preferable Strong verbal and written communication skills A good team player. Effective in fast paced, dynamic work environment

About our group: Seagate is a global leader in data storage solutions. We strive to create precision-engineered data storage technologies that deliver superior capacity, speed, safety, and performance. We are excited to announce that we are recruiting for a spintronic / 2D materials scientist in recording head design and materials technology to help deliver our next generation technologies. You will work as part of an established team reporting to the Research & Development Manager defining and delivering future data storage technologies and products. If you're excited by new technologies, are naturally creative and passionate about seeing ideas come to life then this is the ideal research role for you. About the role - you will: Our Heat Assisted Magnetic Recording Technology (HAMR) technology is a world-leading data storage technology to address the cloud data storage market. Leveraging our high-tech design tools and advanced manufacturing processes you will be responsible for research and development in the areas of spintronics and 2D materials device design and the integration of emerging technologies into new products to meet performance and reliability requirements. We are looking for someone who is excited by new technologies, is naturally creative and passionate about seeing ideas come to life. You will be involved in one or more of the following areas: . Development of spintronic and 2D material device simulation strategies. . Micromagnetic, atomistic, DFT, tight binding and other relevant modelling approaches to simulate materials and device performance. . Help develop of new modelling methods to understand and improve spintronic/2D device performance. . Application of spintronic device and 2D materials understanding to development of magnetic read sensors and other applications. . Layout of magnetic sensing devices and simulate circuits with computer aided design (CAD) tools. . Collaboration with colleagues in other design and process areas to deliver integrated solutions. . Project planning and collaboration with adjacent teams and internal customers. About you: You are: . A good communicator with excellent presentation and written skills. . A strong team player who works effectively in a cross-functional team environment . Able to set own course in projects and make timely decisions . Motivated and excited by technology and the challenge of going beyond . Able and willing to introduce own ideas and solutions for technology progression Your experience includes: . In-depth knowledge of spintronics and/or 2D materials. . Experience in magnetic and/or 2D materials modelling. . Familiarity in data analysis techniques and packages (e.g. JMP, etc.). . Programming experience e.g. Python/SQL/R, etc. You may also have: . PhD degree or equivalent qualification in physics, materials science, or electrical engineering. . Academic research or industrial experience would be considered a distinct advantage. . Strong analytical skills and proven problem solver. Completed applications should be submitted no later than midnight on Sunday, 28th September 2025 This is a Full-Time position working 39 hours per week. Please demonstrate on your Cover Letter or CV how you meet the criteria set out in the job description identified above. Testing may be used as part of the selection process. At Seagate we are committed to building a diverse, inclusive and authentic workplace. To see all vacancies that Seagate has available, please sign up - Register your interest for career updates with our and to be considered for future opportunities: Seagate Careers Seagate Technology is committed to equal opportunity in employment and welcomes applications from all sections of the community irrespective of sex, marital status, religious affiliation, age, disability or ethnic origin. The Company specifically welcomes applications from the protestant community who are currently underrepresented in this job category. All applications will be considered strictly on the basis of merit. Location: Springtown, Northern Ireland Our Springtown site is Derry/Londonderry's largest manufacturer, we're proud that Seagate is a flexible and inclusive place to work. We have more than 1,400 employees spanning research and development, manufacturing, and other functions. Here at work, you can grab breakfast, lunch, dinner and snacks at our subsidized on-site cafe. Looking for an active break from your workday We've got you covered. Take a group or individual exercise class during lunch or after work at our on-site gym. Network with your colleagues through the Young Professionals Network, Women's Leadership Group, the Carers Cafe (for caregivers of individuals with disabilities), Volunteer in the community with our support! Join our creative network, which includes a choir, foreign language classes and even a cookery class! Join our Employee Resource Groups (ERG), a voluntary, employee-led community built on a shared diversity identity and/or an appreciation of that identity, open to ALL current employees at Seagate! See list below of many of our Company Benefits: . Health - Bupa Healthcare, for employees and dependents, Company sick pay and medical leave, Occupational healthcare service, Employee assistance programmes, Group income protection and On-site gym/ exercise classes / personal trainer. . Work Life Balance - Annual leave, Flexible working hours, Part-time working, Enhanced maternity pay, Enhanced paternity pay, Bereavement leave. . Finance - Pension - employer contributory scheme, Life assurance, Employee stock purchase plan, Competitive base pay, Company bonus scheme, Reward and recognition, Employee savings scheme, Perks at work discount programmes, Pay for civil / jury duty. . Career - Degree / non degree assistance Externally accredited training and development opportunities, Service awards, LinkedIn learning, Learning & development programmes. Location : Springtown, United Kingdom Travel : None

Enphase Energy is a global energy technology company and leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, Enphase transformed the solar industry with revolutionary microinverter technology, turning sunlight into a safe, reliable, resilient, and scalable source of energy to power lives. The Enphase Energy System helps individuals make, use, save, and sell their own power, with approximately 68 million products installed across more than 145 countries. The company is currently seeking a Reliability/Warranty Engineer to support the identification and reduction of customer warranty claims and costs. The role involves coordinating division-wide efforts to mitigate warranty claims and liabilities, analyzing product quality data throughout the product lifecycle, and collaborating with various teams within the organization. Key Responsibilities: - Monitor customer warranty activity and complaints to identify failure types and root causes - Assemble teams to investigate warranty claims and failures - Manage warranty improvement projects to address significant sources of claims and liabilities - Process warranty data into statistical reliability models - Perform weibull analysis for failure rates and time to fail simulations - Report warranty results and progress regularly to customers and internal stakeholders - Own the 8D system/process and facilitate regular reviews - Provide support for production issues to prevent warranty claims - Collaborate with cross-functional teams to leverage data for product/process improvements - Develop expertise in data analysis tools and programming languages such as SQL/R/Python Qualifications and Skills: - Bachelor's degree in Engineering or Computer Science - Minimum 8-10 years of experience in automotive, solar, or related industries, with a focus on warranty engineering and quality - Proficiency in statistical analysis and reliability concepts - Strong communication and team-building skills - Experience in 8D problem-solving and failure analysis - Knowledge of statistical analysis tools like Minitab/JMP - Six Sigma certification preferred - Ability to design and implement data-driven strategies - Familiarity with programming/query languages If you are passionate about sustainability and have a background in warranty engineering, this role at Enphase Energy offers an exciting opportunity to contribute to the development of next-generation energy technologies. Join us in building a more sustainable future.,

The main responsibility of this role is to gather and validate data from various sources in order to conduct analyses on the reliability and degradation of components and systems for Bloom Energy fuel cells. You will collaborate with teams in Quality, Product Development, Field Service, and Remote Monitoring to collect and analyze information to support the identification of root causes and corrective actions for product failures and operational incidents. Additionally, you will contribute to enhancing data collection and databases for more effective analysis and track the progress in reducing the cost of poor quality issues within the business. You will be responsible for developing reliability simulations and providing data to various departments such as Product Development, Service, Marketing, and Finance to facilitate predictions related to service replacements and costs associated with Bloom Energy fuel cell products. Moreover, you will assist the team in documenting the history of systems for fuel cells that are returned from the field. Your role will involve organizing data input into Excel and JMP statistical analysis package to conduct critical reliability analyses and collaborating with different departments to interpret the results and formulate recommendations for continuous improvement in product reliability. Additionally, you will create PowerPoint presentations summarizing the completed analyses with assumptions, conclusions, and recommendations for both internal and external audiences. To be successful in this role, you should possess a Bachelor's degree in Mechanical, Electrical, Chemical, Reliability, or Systems engineering with a minimum of 4-6 years of experience (or a Master's degree with 2+ years). It is preferable to have a background in Reliability Engineering and/or data analytics. Strong skills in data mining, including expertise in SQL and Python, are essential, along with meticulous attention to detail for data and analysis validation. Experience with Oracle ERP and Agile PLM software is required, and certification in APICS CSSP, ISM CPSM, or APICS CPIM is preferred. Proficiency in data analysis using JMP, Minitab, or other statistical analysis programs, as well as Tableau for data visualization, is necessary. Familiarity with Reliability Block Diagram, Fault Tree Analysis, or Markov modeling using Reliasoft or similar software is beneficial. Knowledge of Root Cause and Corrective Actions (RCCA) using Six Sigma or 8D methods is advantageous for solving complex problems with cross-functional teams. Strong PC skills and proficiency in Microsoft Word, Excel, and PowerPoint are essential for creating professional reliability reports and presentations. Excellent written and verbal communication skills are also required for effective collaboration and presentation of findings.,

Overview This role is a technical lead role within ICC, Hyderabad that will co-ordinate with Data Science and Analytics team on creation of new digital capabilities and sustaining existing digital capabilities. This role will act as the key technical expert dedicated to Foods Packaging Modeling & Simulation development (70%).This role also has the managerial responsibility of leading all DSA-ICC associates (30%). This role will act as one of the key technical specialists for packaging modeling & simulation. This role also will serve as local simulation team Lead to drive overall deliverables. The role will be responsible for performing simulations using FEM, DEM, CFD and other techniques and providing insights that influence the design and development of R&D applications, with focus on Foods Packaging applications. This role will also Collaborate with internal and external stakeholders in a global setting and will support Troubleshooting & Problem Solving to Diagnose and resolve issues related to simulation models and results.This role also is responsible for developing 3DX Apps, Graphical User Interfaces (GUI) and simulation templates. This role will also provide leadership to all simulation and modelling teams ( including other associates ). Responsibilities Lead a team of Modelling, Simulation and other SMES of DSA team ( Including Bev Pkgs Teams) based out of Hyderabad. Provide Strategic direction in alignment with global teams and ensure timely delivery of Committed projects. Functional Responsibilities Deliver Foods Packaging Simulation models and apps per Simulation Roadmap and Timeline above Deliver modeling and simulation projects using 3DX, other general purpose and specialized numerical software. Collaborate with Dassault experts directly on delivering perfect packaging simulation templates and apps Design and develop innovative experiments to validate and improve models. Support other senior simulation engineers on assigned simulation tasks including CAD creation, CAD cleaning, meshing, pre-processing, post processing, creating visuals of data Work with external partners, software vendor, university, engineering firms, to develop technologies needed to fulfil PepsiCo need. Additional responsibilities in combining physics-based simulation, sensor technology, data analytics (AI/ML) to deliver digitized innovation projects (digital twin), Support Computational Chemistry projects by data collection and literature research New technology introduction and implementation Qualifications PhD. with simulation concentration and 8+ years of work experience, MS with 10+ years experience Background in mechanical engineering, solid mechanics or related field Packaging experience with cardboard boxes, films, pallets, is a big plus but not necessary Hands-on experience with commercial software - CFD (ANSYS FLUENT, STAR-CCM+), FEA (ABAQUS, ANSYS Mechanical), DEM (ROCKY, EDEM), COMSOL. Knowledge about computational chemistry (hands on software experience with MOE, Shrodinger a plus) Experience designing and conducting physical testing required to formulate and/or calibrate models, i.e., Wind tunnel, mechanical testing, thermal measurements, Data Acquisition, High speed imagery, etc. Experience with Python, MATLAB, R, JMP a plus. Experience with VR/AR assets creation using KeyShot, Unity, Unreal, or Omniverse a plus. Knowledge and experience in food/beverage production and process engineering a plus - extrusion, drying, frying, mixing, filling, food safety. Strong project management and communication skills. Ability to collaborate with internal and external partners in a global setup. Robust understanding of engineering principle with experience in the area of fluid dynamics, thermodynamics and heat transfer. Experience with state-of-the-art modeling software that capable to model multi-physics problem involving multi-phase fluid flow and heat transfer in engineering and manufacturing processes. Knowledge of how to use simulation to evaluate new and novel technologies for PepsiCo's innovation in processing/packaging.

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratory's role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision making-we are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the which makes everything possible. The Senior Systems Verification Engineer I for Beckman Coulter Diagnostics is responsible for designing, developing, troubleshooting Electro-Mechanical / Opto-Electrical System modules for laboratory medical device new product development. The incumbent practices best design practices and follow quality processes defined during development. This position reports to the Head of Life Cycle Management & Group Manager and is part of the R&D Hardware/Systems Development team located in Bengaluru - BDC and will be an on-site role. In this role, you will have the opportunity to: Author, review, and executesystem-level test protocolsto validate design changes. Ensure test coverage foraccuracy,performance,throughput,carryover, andlinearityEtc. requirements. Analyze test data and generatestatistically sound reportsto support design verification and release decisions. Evaluate whether design changes meet existing system specifications/requirements and performance benchmarks and changes do not compromise product integrity or clinical outcomes. Participate in DFMEA reviews, identifying and testing for potential failure modes. Perform DFMEA test protocols to validate mitigations and assess risk impact. Develop and execute reliability test protocols, including accelerated life testing and environmental stress testing. Perform statistical analysis of reliability and performance data using tools such as Minitab, JMP, or Python/R. Interpret results to estimate product life, failure rates (MTBF = Mean Time Between Failures), and confidence intervals. The essential requirements of the job include: Bachelor's or Master's degree in Biomedical engineering, Electrical Engineering, Systems Engineering, or related field. 3+ years of experience in medical device V&V, preferably in diagnostics or imaging systems. Strong understanding ofdesign control,risk management, andreliability engineering. Proficiency instatistical analysisand tools for data interpretation. Familiarity withDFMEA,ISO 14971,IEC 60601, andFDA QSR. Experience insetting up experiments using external sensors and data acquisition systemssuch asLabVIEW, NI DAQ, or similar platforms. Experience with requirement management tools (e.g., IBM DOORS, Jama) is a plus. Familiarity with regulatory and safety standards (IEC 62304, ISO 13485, FDA Class II). It would be a plus if you also possess previous experience in: Experience in medical device design & development is a plus Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology or flow cytometry systems is a plus Familiarity with lean manufacturing and Six Sigma principles Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit .

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratory's role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision making-we are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the which makes everything possible. The Senior Systems Verification Engineer I for Beckman Coulter Diagnostics is responsible for designing, developing, troubleshooting Electro-Mechanical / Opto-Electrical System modules for laboratory medical device new product development. The incumbent practices best design practices and follow quality processes defined during development. This position reports to the Head of Life Cycle Management & Group Manager and is part of the R&D Hardware/Systems Development team located in Bengaluru - BDC and will be an on-site role. In this role, you will have the opportunity to: Author, review, and executesystem-level test protocolsto validate design changes. Ensure test coverage foraccuracy,performance,throughput,carryover, andlinearityEtc. requirements. Analyze test data and generatestatistically sound reportsto support design verification and release decisions. Evaluate whether design changes meet existing system specifications/requirements and performance benchmarks and changes do not compromise product integrity or clinical outcomes. Participate in DFMEA reviews, identifying and testing for potential failure modes. Perform DFMEA test protocols to validate mitigations and assess risk impact. Develop and execute reliability test protocols, including accelerated life testing and environmental stress testing. Perform statistical analysis of reliability and performance data using tools such as Minitab, JMP, or Python/R. Interpret results to estimate product life, failure rates (MTBF = Mean Time Between Failures), and confidence intervals. The essential requirements of the job include: Bachelor's or Master's degree in Biomedical engineering, Electrical Engineering, Systems Engineering, or related field. 3+ years of experience in medical device V&V, preferably in diagnostics or imaging systems. Strong understanding ofdesign control,risk management, andreliability engineering. Proficiency instatistical analysisand tools for data interpretation. Familiarity withDFMEA,ISO 14971,IEC 60601, andFDA QSR. Experience insetting up experiments using external sensors and data acquisition systemssuch asLabVIEW, NI DAQ, or similar platforms. Experience with requirement management tools (e.g., IBM DOORS, Jama) is a plus. Familiarity with regulatory and safety standards (IEC 62304, ISO 13485, FDA Class II). It would be a plus if you also possess previous experience in: Experience in medical device design & development is a plus Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology or flow cytometry systems is a plus Familiarity with lean manufacturing and Six Sigma principles Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit .

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology At Beckman Coulter Diagnostics, one of Danaher's 15+ operating companies, our work saves lives-and we're all united by a shared commitment to innovate for tangible impact. You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher's system of continuous improvement, you help turn ideas into impact - innovating at the speed of life. As a global leader in clinical diagnostics, Beckman Coulter Diagnostics has challenged convention to elevate the diagnostic laboratory's role in improving patient health for more than 90 years. Our diagnostic solutions are used in routine and complex clinical testing, and are used in hospitals, reference and research laboratories, and physician offices around the world. Every hour around the world, more than one million tests are run on Beckman Coulter Diagnostics systems, impacting 1.2 billion patients and more than three million clinicians per year. From uncovering the next clinical breakthrough, to rapid and reliable sample analysis, to more rigorous decision making-we are enabling clinicians to deliver the best possible care to their patients with improved efficiency, clinical confidence, adaptive collaboration, and accelerated intelligence. Learn about the which makes everything possible. The Senior Systems Verification Engineer I for Beckman Coulter Diagnostics is responsible for designing, developing, troubleshooting Electro-Mechanical / Opto-Electrical System modules for laboratory medical device new product development. The incumbent practices best design practices and follow quality processes defined during development. This position reports to the Head of Life Cycle Management & Group Manager and is part of the R&D Hardware/Systems Development team located in Bengaluru - BDC and will be an on-site role. In this role, you will have the opportunity to: Author, review, and executesystem-level test protocolsto validate design changes. Ensure test coverage foraccuracy,performance,throughput,carryover, andlinearityEtc. requirements. Analyze test data and generatestatistically sound reportsto support design verification and release decisions. Evaluate whether design changes meet existing system specifications/requirements and performance benchmarks and changes do not compromise product integrity or clinical outcomes. Participate in DFMEA reviews, identifying and testing for potential failure modes. Perform DFMEA test protocols to validate mitigations and assess risk impact. Develop and execute reliability test protocols, including accelerated life testing and environmental stress testing. Perform statistical analysis of reliability and performance data using tools such as Minitab, JMP, or Python/R. Interpret results to estimate product life, failure rates (MTBF = Mean Time Between Failures), and confidence intervals. The essential requirements of the job include: Bachelor's or Master's degree in Biomedical engineering, Electrical Engineering, Systems Engineering, or related field. 3+ years of experience in medical device V&V, preferably in diagnostics or imaging systems. Strong understanding ofdesign control,risk management, andreliability engineering. Proficiency instatistical analysisand tools for data interpretation. Familiarity withDFMEA,ISO 14971,IEC 60601, andFDA QSR. Experience insetting up experiments using external sensors and data acquisition systemssuch asLabVIEW, NI DAQ, or similar platforms. Experience with requirement management tools (e.g., IBM DOORS, Jama) is a plus. Familiarity with regulatory and safety standards (IEC 62304, ISO 13485, FDA Class II). It would be a plus if you also possess previous experience in: Experience in medical device design & development is a plus Experience in IVD instrumentation, such as clinical chemistry, immunoassay, hematology, urinalysis, molecular, microbiology or flow cytometry systems is a plus Familiarity with lean manufacturing and Six Sigma principles Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit .

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your role . The candidate should experience in managing Quality / Process Excellence initiative for large engagement. . Must have led/driven Six Sigma and Lean projects. . She/he need to have the leadership ability to implement the Six Sigma project directed by Master Black Belts (MBB). . She/he should be comfortable with managing and driving complex process changes. . Must have worked in cross functional teams and demonstrated ability to drive change in the process. . Communicate regularly to report to both LSS and other improvement at Project / Engagement level for better engagement. Your profile She/he should have a valid LSS GB (Lean Six Sigma Green Belt) and LSS BB both (Lean Six Sigma Black Belt) certificates Good exposure in LSS DMAIC Project implementation. Good business insight well versed with all key IT business requirement. She/he should have a clear and effective communication skill to succeed in their roles as Six Sigma leaders, mentors, coaches and trainers. Must be able to speak the language of the C-suite and the project floor equally well. Good problem solving and presentation skills. Knowledge of advanced statistical tools like Minitab tool, JMP etc (for doing DOE, AVOVA, simulation etc) Understanding of basic and advanced statistical techniques (in Minitab tools) LSS Trainer (@YB, GB level) What you'll love about working here .We're committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can. .Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal, yoga challenges, or marathons. .At Capgemini, you can work onin tech and engineering with industry leaders or createto overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Key Job description requirements : BE / B tech Mechanical with overall 7-12 Years experience Sound knowledge on GD & T basic concepts Capability of Gauge / Fixture designing / giving strong inputs in this area 'Exposure in handling CMM / OMM Equipements Basic programming knowledge on CMM / OMM Additional advantage if exposure in the equipment like ATOS Q / Sensofar etc Lead in Quality lab oratory Have Min 3-5 Years of experience in Lab oratory Management , as lead Exposure in handling of NABL accredited lab , will be additional advantage Sound knowledge in Concepts like SPC/ MSA - GRR / PFMEA / APQP Exposure in handling high end customers / Customer audits etc Developing team / Multiskilling of the team New supplier development & localization experience Sound english communication Exposure in Automation & advanced MIS platforms Exposure in usage of MINITAB / JMP Exposure in Reliability tests / overall Data management / sample storage requirement clarity etc

Technical Skill set Required: JMP or Jupyter SQL, C, C++, Java, Ruby, Perl, Python) Disclaimer: At Tessolve, we are committed to fostering a workplace that embraces and celebrates diversity in all its forms. We believe that diverse teams drive innovation, creativity, and success. We are dedicated to creating an inclusive environment where all employees, regardless of their race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status, feel valued and respected. We believe in fair and equitable treatment for all employees and aim to eliminate any biases or barriers that may hinder personal or professional growth.

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate, and advance faster than ever. As a Micron Front End Central Quality Senior Engineer, you will be a member of the worldwide quality team responsible for driving quality and reliability improvement initiatives into Front End Manufacturing network. You will work closely with Global Quality and internal customers to perform data analysis in key metrics to monitor quality and reliability health, including DPM and Uncorrectable Error (UE) metrics. Additionally, you will work with business partners to develop the strategy for continually improving product quality and reliability for Front End and supporting Time to Mature DPM program and Time to Mature Uncorrectable Error (UE) program execution. Responsibilities And Tasks Include But Not Limited To: - Design and develop methods to extract and analyze unstructured diverse Backend & Front-end data. Perform data correlations to determine the Patterns and perform the first level of debug. - Translate raw data into compelling visual stories that highlight trends, anomalies, and opportunities for improvement. - Collaborate with business partners and multi-functional teams to drive detection, Corrective and Preventive Actions in line-of-sight metrics. - Work with multi-functional team to deploy BKMs of Back End to Front End collaboration process like WL DPM forecast and RMA DPM reduction, etc. - Lead multi-functional initiatives or enabling projects that support companywide quality objectives. - Manage the projects to enable the implementation path for new initiatives. - Strong verbal and written communication skills, able to communicate the analysis and present insights to business partners. Skills And Experience You Will Need: - MS/BS or equivalent experience in Electrical or Computer Engineering. - 3 to 8 years of experience in the following areas. - Good knowledge in Semiconductor Manufacturing, common semiconductor reliability tests, and failure mechanisms. - Fluency in Python and/or R, other statistical software including scripting capability for automating analyses. - Knowledge of using statistical tools, Unix, Tableau, Power BI, JMP. - Understanding of statistics applied to data analysis, especially in Quality and reliability. - Exposure to statistical modeling, feature extraction and analysis. Good to have - supervised/unsupervised/semi-supervised learning, integrating LLM into the production environment. About Micron Technology, Inc.: Micron Technology, Inc. is an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron and Crucial brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.,

Job Summary Are you passionate about solving customer problems, offering Technical solutions and building deeper business relationships that help drive growth for industry leading Consumer Products customers Joining science and creativity, we are an international collective of thinkers who partner with customers to bring scents, tastes, experiences, ingredients and solutions for products the world craves. If you are skilled at solving complex problems with elegant technical solutions, and have a collaborative approach to exceeding customer expectations, you could be our next Application Specialist! Your Focus As a part of our Application Development team, you will be responsible to work across functions to develop and support products and processes. The role will see you providing technical and functional leadership opportunities and will play a key part in supporting our evolving industry and customer base. The role is based in Hyderabad, India and will report to the Regional Application Leader Grain Processing. How You Will Contribute Involve with hands on work at bench and pilot scales. Design, develop, execute, and contribute innovatively to the development of enzyme and yeast products and processes across scale, analyze and interpret data using statistics to make a sound recommendation for specific projects. Collaborate closely with the application scientist to advance the solution while creating and maintaining an up-to-date project data, both at lab and pilot scale. Objectively support the analysis of customer and project samples using physical, bio/chemical and functional assay. Manage the day-to-day lab activities while upholding to the highest standards of Occupational Health and Safety. Interact with cross functional teams including R&D, sales, marketing, legal, procurement and engineering. What You Will Need To Be Successful Master`s degree (with 3+ years of Industry experience) or a PhD degree in Biochemistry, Biotechnology, Bio Engineering, Agriculture Engineering or a related area. Strong knowledge and experience of industrial scale fermentation, preferably in the grain based ethanol manufacturing. Experience in executing experiments across scales (Lab-Pilot-Commercial) to assess the performance of enzymes and/or yeast meeting project timelines. Experience with analytical techniques relevant to monitoring the biotechnological process (Proximate, HPLC, GC, Biochemical assay, Viscometry, PSD, micro-DSC, Etc). Proficiency with statistical analysis software such as JMP, SPC, excel, etc., for generating scientific report with objective inferences. Excellent verbal and written communication skills Strong team player with the ability to deliver results in a fast-paced environment. Willingness to travel upto 20% across ASPAC, including to customer commercial facilities. We are a global leader in taste, scent, and nutrition, offering our customers a broader range of natural solutions and accelerating our growth strategy. At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex, or veteran status. We strive for an inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability. Visit IFF.com/careers/workplace-diversity-and-inclusion to learn more Show more Show less

Imagine what you could do here. At Apple, phenomenal ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Apple AME is responsible for designing precision assembly and measurement processes for Apple products. You will perform research and development on new technologies necessary to tackle complex assembly and automation problems that have a direct impact on the quality and delivery of Apple products. Your role will involve designing, implementing, and successfully scaling automated and semi-automated solutions based on sound engineering principles and the technologies developed for a specific application. As a Precision Assembly and Measurement Engineer at Apple, you will be responsible for crafting precision assembly and measurement processes for Apple products. You will perform research and development on new technologies necessary to address complex assembly and automation problems that directly impact the quality and delivery of Apple products. Your responsibilities will include designing, implementing, and efficiently scaling automated and semi-automated solutions based on sound engineering principles and the technologies developed for a specific application. In this role, you will develop new and improved processes through the application of theoretical and practical engineering. You will stay updated on meaningful technical trends and developments and incorporate them into appropriate assignments. Additionally, you will provide direction and mentorship to third-party machine/automation suppliers and/or CMs, serve as a technical leader and driver on owned projects, and act as a technical resource to other engineering groups and project leaders. Your responsibilities will also involve coordinating cross-functional reviews requirements, design, qualification, and capability. You will create Request for Quotation/Proposal (RFQ/RFPs) that document the design requirements of the automated equipment, delivery schedule, required documentation, and qualification for acceptance at machine supplier facilities and contract manufacturers" factories. You will engage with machine suppliers for automated equipment design reviews and proposals. As a Precision Assembly and Measurement Engineer at Apple, you may be required to travel internationally as needed. You will run equipment experiments to determine the capability of the machine and be responsible for data analysis reports to communicate machine capability to multi-functional teams. You will perform assignments in several manufacturing engineering functions such as Design for Manufacturability, Product Engineering, Process Engineering, and Failure/Data Analysis. Minimum Qualifications: - 10+ years in an engineering role with experience in automation equipment used for alignment, assembly, and/or measurement of components - New Product Introduction and Manufacturing Operations experience - Bachelors/Master's degree in Mechanical Engineering (or related field) Preferred Qualifications: - Strong work experience in precision assembly, inspection, and automation equipment - Ability to understand and build tolerance analysis for parts and assemblies - Knowledgeable in crafting machine qualification requirements, design of experiments, and failure analysis - Understanding of machine qualification including calibration, correlation, capability, repeatability, and reproducibility - Effective communication skills in a worldwide environment - Proven track record of cost reduction, project management, and engineering design - Solid understanding of GD&T principles - Experience with NX, SolidWorks CAD, or ProE - Knowledge of optics principles related to CCD cameras, 2D and 1D lasers for positioning and critical alignment machines - Basic understanding of liquid adhesives, PSAs, and VHBs - Working knowledge of robotics, pneumatics, servo motors, motion controllers, PLC, and PC-based control systems - Experience with JMP, Minitab, and Six Sigma If you meet the qualifications and are excited about the opportunity to work at Apple, please submit your CV.,

Summary As a key contributor within the R&D organization at Hollister Incorporated, the Scientific Communications Writer will play a critical role in transforming complex technical data and research findings into compelling, accurate, and accessible scientific content. This individual will partner with Ostomy Technology Development and cross functional business teams to support the development of technical publications, white papers, abstracts, and internal education materials. The ideal candidate will have strong scientific acumen, data interpretation skills, publications and a solid foundation in statistics and testing methodologies commonly used in medical devices or healthcare research. Responsibilities People & Collaboration Partner closely with cross-functional teams in R&D to understand scientific narratives and translate them into high-quality technical and educational content. Establish and maintain strong relationships with technical experts, product development scientists, and global stakeholders to align messaging with Hollister&aposs scientific and innovation strategy. Collaborate with statisticians, test engineers, and lab scientists to interpret and communicate results from experiments and clinical evaluations. Performance & Execution Deliver timely, scientifically accurate, and well-structured publications, including slide decks, technical white papers, posters, abstracts, and manuscripts for internal and external dissemination. Provide data-driven support for scientific messaging by conducting literature searches, analyzing and summarizing experimental, analytical, or clinical datasets using descriptive and inferential statistics. Review and revise draft materials to ensure data integrity, clarity, consistency, and compliance with applicable scientific and regulatory standards. Process & Methodology Support the scientific communication lifecyclefrom needs assessment through planning, writing, peer review, and submission/presentation. Develop and maintain internal reports and evidence dossiers that summarize the performance and safety of Hollisters products and technologies, incorporating relevant statistical findings and visualizations. Support experimental documentation and reporting in alignment with design control processes, including product testing and method validation summaries. Stakeholder Engagement Collaborate with Ostomy Technology Development teams to ensure that innovation outputs are captured and communicated effectively through internal knowledge-sharing platforms and external publications. Engage with Clinical Education and Marketing to translate technical content into formats that support customer education and training programs. Essential Functions of the Role**: Translate scientific information into technical content by working with cross-functional R&D teams to ensure alignment with Hollisters scientific messaging. Maintain collaborative relationships with subject matter experts to obtain, verify, and clarify technical information for scientific and educational deliverables. Interpret experimental and clinical data through collaboration with statisticians and technical experts to support accurate and meaningful communication. Create scientific publications and communication materials (e.g., slide decks, white papers, posters, abstracts) that clearly and accurately convey technical content for internal and external audiences. Analyze and synthesize data from literature, experimental, and clinical sources to support evidence-based messaging. Ensure quality and compliance of scientific materials through review and revision to meet regulatory, editorial, and scientific standards. Work Experience Requirements Minimum of 4 years of experience in technical/scientific writing, preferably within an R&D or clinical research function in the medical device, pharmaceutical, or healthcare industry. Experience interpreting scientific data and testing results, including familiarity with statistical tools (e.g., Minitab, JMP, Excel, or Python/R for data analysis). Education Requirements Advanced degree (MS/PhD preferred) in a scientific discipline such as biomedical engineering, life sciences, materials science, pharmacy, or related field. Specialized Skills/Technical Knowledge Solid understanding of experimental design, statistical analysis, and data visualization. Ability to translate lab testing and research findings into clear, accurate, and compliant scientific communication. Proficiency in analyzing raw data and summarizing results into scientifically valid conclusions. Soft Skills Strong written and verbal communication skills tailored to both technical and non-technical audiences. Effective stakeholder management and project coordination. Ability to work independently while engaging proactively with cross-functional teams. Local Specifications (English And Local Language) Excellent command of written and spoken English. Location - Gurugram Mode - Hybrid Show more Show less

As a Silicon Design Validation Engineer at Lattice, you will be part of a dynamic and enthusiastic team working on cutting-edge projects in programmable logic solutions. If you thrive in a fast-paced and results-oriented environment and are passionate about innovation and self-challenge, this role offers you the opportunity to contribute to the validation and performance assessment of building blocks within FPGA. In this role, you will be responsible for validating and characterizing various IPs within the FPGA, such as SERDES, Memory DDR, DPHY, PLL, DSP, Fabric, and I/O components. You will have the chance to work on developing validation and characterization plans, test logic RTL, and drive new silicon product bring-up. Additionally, you will collaborate with design, verification, manufacturing, test, quality, and marketing teams to ensure the successful release of products to production. The ideal candidate for this role will have at least 5 years of experience in Silicon Design Validation, with expertise in High-Speed Serdes Interface characterization, Verilog/VHDL design implementation, and test automation development using languages like Python and Perl. You should also possess strong communication skills, problem-solving abilities, and a proactive mindset. At Lattice, we are focused on collaboration, problem-solving, and innovation. We are a leader in low-power programmable technology, serving customers in various markets such as communications, computing, industrial, automotive, and consumer electronics. By joining Team Lattice, you will be part of a team that is dedicated to creating a smarter, better-connected world through innovative semiconductor products and solutions. If you are motivated to develop a career in Silicon Design Validation Engineering and are looking for a challenging yet rewarding opportunity to work with advanced technologies and equipment, Lattice may be the perfect fit for you. Join us in driving innovation and shaping the future of technology together.,

Imagine what you could do here. At Apple, innovative ideas quickly become extraordinary products, services, and customer experiences. This is where individual imaginations and experiences gather, leading to great work. Bring passion and dedication to your job, and there's no telling what you could accomplish. The people here at Apple don't just create products - they make the kind of wonder that's revolutionized entire industries. The diversity of those people and their ideas inspire the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. In this highly visible role, you will have the opportunity to make a significant impact on Apple Products and leave a footprint for years to come. We have an opportunity for an accomplished manufacturing design engineer to lead development, and ramp for next generation Apple products. Our Manufacturing Design Engineering team enables the mass creation of impossible products as a partner in the development of Apple's renowned designs. You will be a part of collaborative environment contributing to the creation, evaluation, and implementation of end-to-end manufacturing solutions for Apple products. The Apple Manufacturing Design Engineer (MDE) is accountable for leading the development and implementation of innovative manufacturing processes across Apple's worldwide supply base. You will collaborate closely with cross-functional stakeholders in Quality Engineering, Global Supply Management, Product Design, and Industrial Design in order to ensure our manufacturing solutions meet our product quality, cost, yield, capacity, schedule, and environmental goals. The MDE role is empowered to bring creativity to Apple's manufacturing approach, enabling us to deliver our best work to as many customers as possible. Partner with multi-functional teams to evaluate design and processes at the concept phase. Develop manufacturing technologies, control strategies and manufacturing methods that achieve ambitious specifications at a mass production scale. Develop and implement cutting-edge processes to deliver on cosmetic and dimensional part characteristics. Compile and evaluate data to figure out appropriate limits and variables for process and part specifications. Work with internal and external groups to ensure proper definition of process expectations and that appropriate fixturing techniques are used for the product. Coordinate all Manufacturing Design Engineering functions for a program, serving as project manager to lead efforts at supplier locations. Conduct process optimization DOEs, combining data-driven and hands-on approaches in tandem, to find solutions to complex challenges. Evaluate and communicate yields of new and existing processes. Drive corrective actions multi-functionally with internal and external team members. You may be asked to lead development in one or more of the following areas: - CNC machining, CNC milling and turning process development, perform simulations on Vericut, validate drawings/CAD, cutting tool design and development, fabrication and cutter life evaluation. Scope appropriate CNC equipment to be used, develop CNC fixtures, evaluate fixture design concepts and prototyping, implement touch probing, lead the reduction of cycle time, development of advanced cutters and coatings, high-speed machining implementation, support programming and optimization of all CNC-related activities at contract manufacturers worldwide. Own yield improvement actions and process change decisions based on statistical process control (SPC) data analysis. - Surface Finishing - Develop new processes for blasting, tumbling, polishing, robotics, wet sanding, lapping, plating, anodizing, and PVD in response to cosmetic, functional, and reliability targets. Ensure that quality and yield requirements are met. Minimum Qualifications: - Bachelor's degree in Engineering (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Manufacturing systems engineering, Chemical engineering, or similar). - 10+ years of experience in high-volume mechanical product development, manufacturing engineering, tooling engineering, high-precision fabrication, or similar roles. - Hands-on experience in metal cutting (CNC), Robotics, Polishing, Sandblasting, Lapping, Laser Etching, Laser Welding, Adhesive dispensing and/or Process bring up. - A solid understanding of core principles of fixture and automation design (including the use of design software and FEA for stress/structural analysis), Data Analysis, and Design of Experiments. - Experience in developing process DFMs, and driving corrective actions and failure analysis efforts. - Expert level knowledge of GD&T, Stack up Analysis, NX, Siemens Controls, Mastercam, Vericut, JMP/Minitab. - Willingness and ability to travel domestically up to 75%. Preferred Qualifications: - Master's degree in Engineering or PhD (Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology, Chemical engineering, or similar). - Working knowledge of mechanical quality and reliability concepts, supplier management, and general manufacturing operations. - Project management experience and an understanding of problem-solving tools including design of experiments, root cause analysis, and statistical analytical tools. - Experience in cosmetic parts manufacturing and process control. - Hands-on approach to engineering and problem-solving. - A quick learner who approaches problems flexibly and proactively identifies solutions in the face of challenges. - Experience working with OEMs and Contract Manufacturers. - Innovative and first principles problem-solving approach.,

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. The candidate should have experience in managing Quality / Process Excellence initiatives for large engagements. They must have led/driven Six Sigma and Lean projects and possess the leadership ability to implement Six Sigma projects directed by Master Black Belts (MBB). Comfortable with managing and driving complex process changes, the candidate should have worked in cross-functional teams and demonstrated the ability to drive change in the process. Regular communication is essential to report to both Lean Six Sigma and other improvement initiatives at the Project / Engagement level for better engagement. The ideal candidate should have valid LSS GB (Lean Six Sigma Green Belt) and LSS BB (Lean Six Sigma Black Belt) certificates with good exposure in LSS DMAIC Project implementation. They should have a good business insight and be well-versed with all key IT business requirements. Effective communication skills are crucial to succeed in roles as Six Sigma leaders, mentors, coaches, and trainers. The ability to speak the language of the C-suite and the project floor equally well, along with good problem-solving and presentation skills, is necessary. Knowledge of advanced statistical tools like Minitab tool, JMP, etc., for doing DOE, AVOVA, simulation, etc., and understanding of basic and advanced statistical techniques in Minitab tools is required. Additionally, being an LSS Trainer (@YB, GB level) is preferred. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. With a strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. The Group reported 2023 global revenues of 22.5 billion.,

Our vision is to transform how the world uses information to enrich life for . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We're on the lookout for an enthusiastic and forward-thinkingengineer to join our team- Global Quality Front End Central Quality Assurance. As a FrontEnd Central Quality Assurance Senior Engineer/Engineer for Micron Technology, Inc. , you will work with a team responsible to perform centralized operation roles supporting Micron Fabs across the network in Asia and US. Your primary areas of responsibility will include setup of rule-base auto-hold and disposition system, execution of product disposition, and lot handling operation. You will be required to interpret electrical and physical characterization data and combine with statistical analysis to identify and propose disposition for deviated materials with Quality and Reliability risk. You will also bridge to various FECTQA counterparts at each fab to provide operation support, as well as engage in global alignment teams to derive and implement corrective and preventive actions. Responsibilities and Tasks include but not limited to Designing and developing comprehensive QA disposition plans and programming them into Micron's Disposition System. Implementing Fab lot disposition for materials affected by planned or unplanned deviations (e.g., Special Work Requests, Fab Conversions, Quality Deviations, and Excursions). Managing disposition operations across multiple fabs, ensuring consistency, traceability, and alignment with global quality standards. Collaborating on the design, validation, and debugging of QA disposition rules to ensure best-in-class performance across the fab network. Demonstrating advanced statistical methods and data science tools to analyze electrical and physical characterization data, identify trends, and assess Quality and Reliability risks. Driving productivity improvements by automating QA disposition processes through software scripting and workflow optimization. Participating in global forums to identify systemic issues, propose innovative solutions, and enhance the overall capability of the quality network. Requirement : Bachelor's degree in electrical, Electronics, Material Science, or a related field (master's preferred). 3+ years of experience in: Electrical and Physical Failure Analysis of semiconductors. Wafer fab manufacturing processes, functional probe, and parametric testing . Statistical data analysis (e.g., JMP, Python, R) and problem-solving in a high-volume manufacturing environment. Multi-fab disposition management and cross-site collaboration. Quality systems, methodologies, and tools (e.g., FMEA, SPC, 8D, CAPA). Strong communication skills in English (verbal and written). Ability to manage multiple priorities and take ownership of broad responsibilities in a dynamic environment.