Supplier Quality Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Solution Engineer - Security

Key Account and E-Commerce Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Senior QA Automation Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Responsibilities: <ul><li>Act as a single-point-of-contact for topics and issues related to supplier quality within the Heredia, Costa Rica facility.</li><li>Lead supplier-related activities to ensure incoming quality is proactively planned, prepared, and ensured in advance before production part is approved and released.</li><li>Continually improve supplier performance through coaching, training, consequence enforcement, supplier awards and motivation, supplier restriction and disqualification, etc.</li><li>Measure and communicate supplier performance to those suppliers and the organization.</li><li>Evaluate, qualify, approve appropriate new, competitive suppliers (including search for new suppliers), in collaboration with the procurement teams.</li><li>Review and approve/reject/amend supplier Production Part Approval Process (PPAP) submissions for new product releases and qualifying changes to existing components.</li><li>Monitor quality data within the operating systems to ensure data accuracy and develop reporting systems to accurately document and record supplier trends and performance.</li><li>Periodically monitor quality specifications to ensure supplier compliance.</li><li>Work with engineering to clarify and change specifications regarding incoming goods when necessary.</li><li>Clearly communicate (and enforce) company requirements and expectations to suppliers.</li><li>Solicit, drive, monitor, review, approve, and validate containment/corrective/preventive actions by suppliers.</li><li>Facilitate supplier quality roadmaps leading to improved supplier performance.</li><li>Conduct process and system audits of suppliers and maintain working knowledge of ISO and TS quality system requirements.</li><li>Serve as Supplier Quality Lead / SME during internal audits and 3rd party inspections/audits (FDA, BSI).</li><li>Chair QBRs (Quarterly Business Reviews) with key suppliers.</li><li>Validate manufacturing and supplier processes, including activities associated with equipment installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ).</li><li>Interact with cross-functional teams to resolve supplier-related quality issues.</li></ul> Requirements: Qualifications &amp; Background: <ul><li>Bachelor’s degree in Process Engineering, Manufacturing Engineering, or other engineering discipline plus 5+ years’ experience in a manufacturing environment.</li><li>Working knowledge and understanding of the Food and Drug Administration (FDA) 21 CFR 820 and International Organization for Standardization (ISO) – ISO 13485 and ISO 14971.</li><li>Bilingual (English / Spanish).</li><li>Experience in a Supplier Management role.</li><li>Experience conducting quality audits in a manufacturing environment.</li><li>Lean Six Sigma Green Belt Certification.</li><li>Proficiency in Microsoft Office.</li><li>Strong problem-solving and analytical skills for compiling and analyzing data.</li><li>Knowledge of DOE, SPC, Gage R&amp;R, and sampling plans.</li><li>Effective time management skills, applied to fast-moving and high-pressure environments.</li><li>Ability to work independently with little or no supervision, as well as in teams.</li><li>Willingness to travel (approximately 10%) to visit suppliers.</li></ul>

Role Description:&nbsp;<ul><li>Design &amp; Development of automotive connector system.</li></ul> Responsibilities: <ul><li>Responsible for mechanical design of Connectors based on customer requirement for TS.</li><li>Responsible to carry out detailed mechanical design work including 3D modelling, Proposal /detail drawings for costing / production, initiating simulation and prepare design verification / product validation plan per requirement.</li><li>Responsible for choosing standard parts, features, material as per internal guidelines which would meet the internal / customer target process and cost.</li><li>Responsible for preparing and presenting design reviews per manufacturability, update design per suggestion and keep record.</li><li>Responsible for carrying out design change requests in a timely manner / own the product responsibility&nbsp;</li></ul> Requirements: <ul><li>B.E/B. Tech in Mechanical Engineering (equivalent) / Diploma with Post graduation&nbsp;</li><li>Knowledge about various phases of product realization / product development.</li><li>Knowledge of state-of-the-art design tools such as Creo / CAD tools,</li><li>Basic knowledge in manufacturing process (Machining, Molding, Stamping, Plating, etc.,)</li><li>Following are added advantage - Geometric Dimension &amp; Tolerancing (GD&amp;T), GPS, Electrical &amp; Electronic Components design and Development.</li><li>1-4 years of experience in Concept Design and Development of products preferably in plastic and stamped parts.</li><li>Good knowledge in Creo software / CAD tools, PDM windchill / Similar,</li><li>Basic knowledge about Tolerance stack-up and GD&amp;T / GPS</li><li>Basic knowledge on Plastics &amp; Sheet Metal components will be added advantage.</li><li>Good Conceptual, problem solving and Analytical Skills.</li><li>Ability to communicate effectively and accurately across multi-cultural groups.</li><li>Excellent Communication and Presentation skills.</li></ul>

Responsibilities: <ul><li>We are seeking a Solutions Engineer - Artificial Intelligence (AI) Practitioner to join our dynamic sales team. As an SE (AI Practitioner), you will consult and drive the adoption of our AI solutions across various industries.</li><li>You will identify potential clients, understand their specific needs, and provide tailored AI solutions that enhance their business operations.</li><li>This role requires a deep understanding of AI technologies, real world deployment experience and expert capability to relay business and technical concepts to a diverse audience.</li><li>The Cloud and AI Infrastructure team is responsible for helping customers change their business using Client technology in the data center and on cloud. The team works with customers, partners and engineering teams to take customer problems and turn them into business advantage.</li></ul> Requirements: Minimum Qualifications: <ul><li>10+ years of technology consulting experience (preferably in systems, software, data, analytics and AI).</li><li>Good understanding of programming/scripting languages</li><li>Ability to provide detailed and consumable documentation and standard methodologies for deployment around application acceleration, automation/management efficiencies, enterprise, and AI/ML solutions.</li><li>Be able to develop and showcase real world examples of how AI technology can help businesses thrive and solve problems.</li><li>Excellent presentation skills – ability to value-sell and deliver engaging workshops to both technical and non-technical audiences on AI and/or infrastructure topics. Preferred</li><li>Bachelors Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Advanced degree in Data Science is a plus.</li><li>Experience with AI relevant infrastructure, including Networking (InfiniBand and RoCE), Storage (FC, IP and scale out) and AI accelerators (GPUs etc).</li><li>In-depth understanding of AI models, including but not limited to GPT, Llama, Resnet or similar.</li><li>Experienced with data storage and management (SQL, NOSQL, Vector, BigQuery etc) and AI/ML frameworks (scikit-learn, TensorFlow, PyTorch, Jupyter, NIMS and NVAIE etc).</li><li>Expertise in training and fine-tuning AI models on premise or in cloud environments.</li><li>Familiarity with containerization (k8 etc).</li></ul>

Responsibilities: <ul><li>As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li><li>This role offers the excitement of working with cutting-edge technology and the fulfillment of building long-lasting relationships with customers.</li><li>Provide guidance and assist account teams in building solutions to address specific customer security needs.</li><li>Understand business requirements and translate them into technical solutions.</li><li>Create, present, and document technical solutions to customers, partners, and prospects.</li><li>Lead technical consulting and upper-level management presentations.</li><li>Drive major account opportunities while enabling local account teams to maintain long-term ownership.</li></ul> Requirements: Minimum Qualifications <ul><li>Minimum of 4 years of technical sales or pre-sales experience with 2+ years in Security specialization (Email Security, IDS/IPS, AV, Firewall, Advanced Malware Protection).</li><li>Bachelors degree in Cybersecurity, Computer Science, or a related field.</li><li>Proven track record of successful quota achievement.</li><li>Strong knowledge of cybersecurity concepts, technologies, and best practices.</li><li>Industry certifications such as CISSP, CISM, or CCSP are preferred..</li></ul> Preferred Qualifications <ul><li>Excellent presentation and interpersonal skills.</li><li>Commercial awareness and strong communication skills.</li><li>Highly motivated self-starter who excels without day-to-day management.</li><li>Experience with Client security technologies and programming languages such as UNIX shell, Perl, or C.</li><li>Willingness to travel and work from a home office. As a key player in the team, you will have the opportunity to influence the security landscape by crafting tailored solutions that address specific customer needs.</li></ul>

Role Desscription: <ul><li>The key account and e-commerce manager is responsible for driving the execution of brand and commercial strategies across digital sales channels, ensuring excellence in online presence, promotion and conversion.</li><li>This role acts as the key interface between marketing, sales and eRetailers, translating brand &amp; commercial objectives into shopper-centric initiatives that enhance visibility, engagement, and sell out performance in the digital environment.</li></ul> Responsibilities: <ul><li>Connecting with distributors to drive sales in pure e-commerce players (Lazada, Shopee etc).</li><li>Ensure excellence in execution in e-commerce across pure players and also retail e-commerces.</li><li>Omnichannel execution. Ensure 360 activation of IMC in e-commerce platforms across focus markets in SSEA.</li></ul> Key Accountabilities <ul><li>Digital Channel Strategy Execution: translate brand and sales strategies into tailored online plans for each digital customer (marketplaces, B&amp;C, quick commerce). Align and execute commercial calendars, launches, and campaigns in collaboration with Sales and Marketing teams.</li><li>% of planned activities executed according to the digital commercial calendar.</li><li>Internal alignment score with Sales and Marketing (e.g., internal NPS or feedback in JBP sessions).</li><li>Number of campaigns successfully launched by channel/platform.</li></ul> <ul><li>Visibility and Conversion: Ensure best-in-class product content, imagery, and search optimization across all eRetail platforms.</li><li>Deploy digital trade initiatives (e.g., banners, activations, product sampling) to increase brand visibility and conversion.</li><li>Share of Search (SoS) for top keywords per platform.</li><li>Conversion Rate (CVR) by priority product and platform.</li><li>% of planned digital assets (e.g., banners, feature slots) executed on time.</li></ul> <ul><li>Promo &amp; Investment Planning: Coordinate digital promotional mechanics in line with budget, ROI, and brand guidelines.</li><li>Monitor competitive pricing and promotions to adjust plans accordingly.</li><li>ROI of promotional campaigns (% return on investment).</li><li>Budget adherence rate (% of trade digital budget spent as planned).</li><li>Sell-out growth during promotional periods (vs. pre-promo baseline or LY).</li></ul> <ul><li>Performance Analysis &amp; Reporting:</li><li>Track and analyze key performance indicators (e.g., sell-out, share of shelf, conversion rates, media ROI).</li><li>Generate actionable insights to optimize future campaigns and investments.</li><li>Accuracy of reported data (target: &lt;5% margin of error).</li></ul> <ul><li>Content &amp; Assortment Management:</li><li>Maintain accurate and complete product information, ensuring consistent presence across platforms.</li><li>Support in defining digital assortment priorities and product visibility strategies by platform.</li><li>% of SKUs with compliant, high-quality content live on each platform.</li><li>Time to market for new product content.</li><li>Assortment compliance rate per retailer (e.g., % of priority SKUs listed).</li></ul> Requirements: <ul><li>Experience Capability.</li><li>Graduation Complete.</li><li>MBA (Differential).</li></ul> Language <ul><li>Advanced English</li></ul> Discipline of Knowledge. <ul><li>Administration, Economics, Marketing</li></ul> Specific knowledge of the team you lead. <ul><li>Previous experience in FMCG Industries in E-commerce or in pure e-commerce players.</li><li>Proficiency in Excel and Power Point.</li><li>Project management.</li><li>Knowledge of Tableau (BI and Dashboards) or programming language.</li></ul> Organization <ul><li>Analytical – Working with data Management.</li></ul> Communication <ul><li>Teamwork.</li><li>Resilience and self-motivation.</li><li>Logical reasoning.</li><li>Ability to prioritize and sense of urgency.</li><li>Ability to execute.</li></ul>

Responsibilities: <ul><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools</li><li>Lead the design and development of solutions using Agentic AI</li></ul> Requirements: Basic Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Mathematics, Statistics, or a related field.</li><li>8+ years of experience in software engineering, data science, AI, or a related field.</li><li>Proficiency in software development and statistical analysis.</li><li>Experience with Large Language Models and their applications.</li><li>Strong communication skills and the ability to present technical results to business stakeholders.</li><li>Experience with solution architecting and design.</li><li>Hands-on experience with cloud platforms such as Azure and/or AWS.</li><li>Proficiency in programming languages such as Python, R, or similar.</li><li>Strong problem-solving skills and the ability to work independently as well as part of a team.</li></ul> Preferred Qualifications: <ul><li>Experience with large language models and supporting workflows.</li><li>History of project leadership and development.</li><li>Familiarity with Agile development.</li><li>Experience in applications on sales, marketing, and market research.</li><li>Design, develop, and implement systems leveraging Large Language Models (LLMs) for various applications.</li><li>Prepare data, fine-tune models, and build data, analytics and ML Pipelines to support.</li><li>Collaborate with business partners and key stakeholders to understand their needs and present insights and solutions.</li><li>Build innovative AI solutions tailored to business requirements.</li><li>Utilize cloud technologies in Azure and/or AWS for deploying and managing AI models and solutions.</li><li>Communicate complex technical concepts and results to non-technical audiences effectively.</li><li>Stay current with advancements in AI and apply them to solve business challenges.</li><li>Participate in efforts to improve enterprise adoption and proficiency in the use of AI tools.</li><li>Lead the design and development of solutions using Agentic AI.</li></ul>

Responsibilities: 1. Team Leadership <ul><li>Manage, mentor, and develop a team of Quality and Reliability Engineers.</li><li>Assign projects and tasks based on individual strengths and organizational priorities.</li><li>Conduct performance evaluations and provide coaching for continuous improvement.</li><li>Lead cross-functional problem-solving teams to address customer quality issues, reduce DPPM, and lower the cost of poor quality.</li></ul> 2. Quality Assurance <ul><li>Develop and implement robust quality control processes and procedures.</li><li>Oversee customer quality audits and ensure compliance with our client quality policies and customer requirements.</li><li>Analyze quality data and metrics to identify trends and areas for improvement.</li></ul> 3. Failure Analysis <ul><li>Lead structured failure investigations (e.g., fault tree analysis) to determine root causes and corrective actions.</li><li>Coordinate product testing related to customer-reported issues.</li><li>Serve as the primary quality interface with customers on escalations, reliability matters, and compliance.</li></ul> 4. Project Management <ul><li>Lead quality and reliability improvement projects from concept through completion.</li><li>Collaborate cross-functionally with Sales, Engineering, and Operations to align on customer quality objectives.</li><li>Support supplier reviews, customer audits, and on-site technical support.</li><li>Conduct periodic business reviews with key customers on DDN quality and reliability performance.</li></ul> 5. Continuous Improvement <ul><li>Identify opportunities for process optimization, cost reduction, and improved efficiency.</li><li>Implement Lean and Six Sigma methodologies to drive continuous improvement.</li><li>Collaborate with Engineering and Sales to share the DDN strategic quality roadmap and strengthen customer partnerships.</li></ul> 6. Reporting and Communication <ul><li>Prepare and present reports on quality and reliability metrics to senior leadership.</li><li>Communicate effectively with internal and external stakeholders on quality matters and escalations.</li><li>Provide Voice of the Customer (VoC) feedback to Product Management, Engineering, and Manufacturing to mitigate risks.</li></ul> 7. Tactical Initiatives <ul><li>Proactively identify and remove roadblocks affecting quality and customer satisfaction.</li><li>Drive urgency and accountability across teams to meet customer expectations.</li><li>Bridge communication between customers and internal teams to ensure timely problem resolution.</li></ul> Requirements: Qualifications and Experience <ul><li>Education: Bachelor’s degree in Electrical, Mechanical, or related Engineering field; Master’s degree preferred.</li><li>Experience: Minimum 7 years in Quality Assurance or Reliability Engineering, including at least 3 years in a managerial or global capacity.</li></ul> Technical Skills: <ul><li>Strong knowledge of Quality Management Systems (QMS), Statistical Process Control (SPC), Gage R&amp;R, and reliability tools.</li><li>Experience with failure analysis using structured methodologies (e.g., fault tree analysis).</li></ul> Certifications: <ul><li>Six Sigma Black Belt, ASQ Certified Quality Engineer (CQE), or equivalent preferred.</li></ul> Soft Skills: <ul><li class="ql-indent-1">Strong leadership and team development skills.</li><li class="ql-indent-1">Excellent problem-solving, communication, and interpersonal abilities.</li><li class="ql-indent-1">Demonstrated customer interface experience in data center interconnect technology.</li><li class="ql-indent-1">Executive-level presence with the ability to influence across all levels of the organization.</li></ul>

Responsibilities: <ul><li>Together with the team of developers handle the product quality.</li><li>Lead and manage the automation testing efforts and deliverables.</li><li>Plan and prioritize testing activities.</li><li>Maintain and improve an existing test automation framework.</li><li>Develop automation tests for API and UI.</li><li>Execute, maintain and update automation tests.</li><li>Review and analyze tests execution results.</li><li>Maintain all related test documentation.</li><li>Prepare testing data.</li><li>Proactively acquire and clarify requirements as necessary.</li><li>Mentor less skilled teammates and newcomers.</li></ul> Requirements: <ul><li>Strong knowledge of OOP (understanding OOP in automation).</li><li>Excellent knowledge of automation testing principles.</li><li>Excellent knowledge of web-based application structure.</li><li>Excellent knowledge of Python programming language.</li><li>Expert in REST API testing.</li><li>Experience in UI testing.</li><li>Wide experience in developing automation testing frameworks.</li></ul>

Responsibilities: <ul><li>Lead development and execution of standardized DfRE and RV methodologies across Converged Products.</li><li>Champion a Design for Six Sigma (DFSS) culture, mentoring and training product design teams.</li><li>Oversee product validation, including HALT/HAST testing, Test-to-Failure (TTF) methodologies, and DOE approaches.</li><li>Collaborate with Product Development Engineering (PDE), Manufacturing Process Development Engineering (MPDE), Field Application Engineering (FAE), and Advanced Quality Engineering (AQE) teams to integrate reliability considerations throughout the product lifecycle.</li><li>Develop comprehensive test and validation plans aligned with our client LeanPD stage-gate approach.</li><li>Drive early concept testing, failure mode identification, and iterative product design improvements.</li><li>Support failure analysis (F/A), Root Cause and Corrective Action (RCCA), and competitive benchmarking activities.</li><li>Partner with Global R&amp;T COE to develop custom test equipment, test systems, and software for unique testing requirements.</li><li>Manage and coach a high-performing team, ensuring clear accountability, skill development, and work-life balance.</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Electrical Engineering, Electronics, or Mechatronics.</li><li>10+ years of experience in all aspects of reliability engineering for electronic or mechatronic products (reliability estimation, calculation, and risk identification).</li><li>Extensive experience with test equipment, test systems, labs, HALT/HAST testing, validation plans, and custom test systems.</li><li>Proven experience working with global, cross-functional engineering teams in multi-site organizations.</li><li>Strong analytical, critical thinking, and problem-solving skills.</li><li>Knowledge of FIT estimation methodology, Weibull/Chi-Square statistical analysis, FMEDA, FTA, and Bayes theorem applications.</li><li>Reliability engineering training from ASQ, TUV, Reliasoft, or equivalent.</li><li>Excellent written and verbal communication skills in English.</li><li>Willingness to travel up to ~20%.</li></ul>

Responsibilities: Prototype Build and Trial Production Support: <ul><li>Participate in new product development projects, responsible for the fabrication, assembly, and preliminary testing of prototypes, ensuring timely delivery of samples required for design verification.</li><li>Support small-batch trial production (NPI) activities; operate equipment according to trial process plans, execute production processes, and accurately record various parameters and data during trial production.</li><li>Assist engineers in setting up and debugging temporary production lines or jigs and fixtures required for trial production, and participate in the on-site acceptance and debugging of new equipment and tooling, providing feedback from an operators perspective.</li></ul> Production Issue Identification and Preliminary Analysis: <ul><li>During prototype building and trial production, closely monitor and meticulously document all process, assembly, equipment, or material issues (e.g., assembly interference, performance deviation, equipment instability).</li><li>Conduct preliminary analysis of problems based on hands-on experience, providing engineers with detailed observations and firsthand descriptions to assist in root cause analysis.</li></ul> Process and Documentation Assistance: <ul><li>Based on hands-on trial production experience, assist engineers in developing, optimizing, and creating necessary process documentation for both trial and mass production, including but not limited to:</li><li>Standard Operating Procedures (SOPs)</li><li>Equipment Operation Manuals</li><li>Equipment Daily Check and Maintenance Plans</li><li>Ensure the practicality and usability of process documentation to lay a solid foundation for subsequent mass production.</li><li>Participate in trial production reviews, providing feedback on process optimization from an operators viewpoint.</li></ul> Production Transfer and Knowledge Handover: <ul><li>Play a key role in transferring process and operational knowledge to the mass production team during the transition from trial to mass production.</li><li>Participate in training mass production operators, ensuring they master the correct operating methods and quality control points for the new product.</li></ul> Requirements: <ul><li>Vocational school, technical school certificate, or associate degree in Mechanical, Electronic, Automation, Mechatronics, or other related engineering fields.</li><li>Experience Requirements</li><li>Typically requires 1-3 years of experience in manufacturing. Preference given to those with experience in New Product Introduction (NPI), prototype building, trial production support, or as an R&amp;D assistant.</li><li>Familiarity with product development processes is preferred.</li></ul>

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64 r programming Jobs found

Supplier Quality Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Solution Engineer - Security

Key Account and E-Commerce Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Senior QA Automation Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

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64 r programming Jobs found

Supplier Quality Engineer

R&D Product Development Engineer - Bengaluru

Solution Engineer - AI Infrastructure

Solution Engineer - Security

Key Account and E-Commerce Manager

Senior AI Engineer

Manager II – Quality & Reliability Engineer

Senior QA Automation Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

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

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