Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

 IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Test

Senior QA Automation Engineer

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

Role Description: <ul><li>Become passionate about your employer and the brand you represent.</li><li>Everything is converging on the Internet, making networked connections more significant than ever before in our lives.</li><li>We have employees with ground breaking ideas that impact everything.</li><li>We take creative ideas from the drawing board to dynamic solutions that have real world impact.</li><li>Youll be part a team that cares about its customers, enjoys having fun, and youll take part in changing the lives of those in our local communities</li><li>Come prepared to be encouraged and inspired.</li><li>You will work with Sales account teams, core services specialists, architecture specialists, renewals team, the CX organization and Practice Delivery &amp; internal cross-functional teams</li></ul> Responsibilities: <ul><li>As a Services Specialist Premium for a set of named accounts, You will lead all aspects of the customer account with respect to Premium Services/Sophisticated Services and drive the execution of customer facing activities to conclusion in a quality, timely, and accurate manner.</li><li>Handle service pricing and margins according to agreed upon terms and work with cross functional teams.</li><li>You will plan and prioritize sales activities and customer/prospect contact towards achieving business objectives around Advanced Services</li><li>You will collaborate with cross-functional teams to create and lead account plans using all relevant data.</li><li>Identify customer business issues, challenges, care-abouts</li><li>You will communicate, liaise, and negotiate internally and externally using appropriate methods to facilitate the development of profitable business and sustainable relationships.</li></ul> Requirement: <ul><li>﻿Subject matter expert on Technology &amp; cross-Architecture solutions/Services. Understand customers’ technology landscape (Applications/Infra/Architecture) well &amp; are able to play an advisory role to account teams &amp; customers.</li><li>You Build Influential Relationships: Working with customers, channel partners, and account team members to meet business goals and objectives; using appropriate communication methods to influence others and establish relationships.</li><li>You have Customer Focus: Supporting customers during the sales process; seeking and taking appropriate actions on customer requirements while balancing business needs; resolving difficult issues in a timely and professional manner; taking responsibility for customer satisfaction and loyalty.</li><li>You negotiate: Optimally exploring interests and options to reach outcomes that gain the agreement and acceptance of all parties by using legitimate data, objective criteria to support ones proposal.</li><li>You are a Critical Thinker: Identifying and understanding issues, problems, and opportunities; comparing data from different sources to address sales challenges and new opportunities; taking courses of action based on sound analysis and judgment.</li><li>14+ years of sales experience in IT products or services sales</li></ul>

Responsibilities: <ul><li>Design, deploy, and maintain production-ready ML models and pipelines for real-world applications.&nbsp;</li><li>Build and scale ML pipelines using Vertex AI Pipelines, Kubeflow, Airflow, and manage infra-as-code with Terraform/Helm.&nbsp;</li><li>Implement automated retraining, drift detection, and re-deployment of ML models.&nbsp;</li><li>Develop CI/CD workflows (GitHub Actions, GitLab CI, Jenkins) tailored for ML.&nbsp;</li><li>Implement model monitoring, observability, and alerting across accuracy, latency, and cost.&nbsp;</li><li>Integrate and manage feature stores, knowledge graphs, and vector databases for advanced ML/RAG use cases.&nbsp;</li><li>Ensure pipelines are secure, compliant, and cost-optimized.&nbsp;&nbsp;</li><li>Drive adoption of MLOps best practices: develop and maintain workflows to ensure reproducibility, versioning, lineage tracking, governance .&nbsp;</li><li>Mentor junior engineers and contribute to long-term ML platform architecture design and technical roadmap.&nbsp;</li><li>Stay current with the latest ML research and apply new tools pragmatically to production systems.&nbsp;</li><li>Collaborate with product managers, DS, and engineers to translate business problems into reliable ML systems.&nbsp;</li></ul> Requirements: <ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field (PhD is a plus).&nbsp;</li><li>5+ years of experience in machine learning engineering, MLOps, or large-scale AI/DS systems.&nbsp;</li><li>Strong foundations in data structures, algorithms, and distributed systems.&nbsp;</li><li>Proficient in Python (scikit-learn, PyTorch, TensorFlow, XGBoost, etc.) and SQL.&nbsp;</li><li>Hands-on experience building and deploying ML models at scale in cloud environments (GCP Vertex AI, AWS SageMaker, Azure ML).&nbsp;</li><li>Experience with containerization (Docker, Kubernetes) and orchestration (Airflow, TFX, Kubeflow).&nbsp;</li><li>Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform/Helm), and configuration management.&nbsp;</li><li>Experience with big data and streaming technologies (Spark, Flink, Kafka, Hive, Hadoop).&nbsp;</li><li>Practical exposure to model observability tools (Prometheus, Grafana, EvidentlyAI) and governance (WatsonX)&nbsp;</li><li>Strong understanding of statistical methods, ML algorithms, and deep learning architectures.&nbsp;</li></ul>

Responsibilities: Agentic AI Development:&nbsp;&nbsp; <ul><li>Design, build, and deploy agentic AI systems using frameworks such as LangChain, Lang Graph, and related libraries.&nbsp;&nbsp;</li><li>Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.&nbsp;</li></ul> RAG Pipelines:&nbsp; <ul><li>Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.&nbsp;</li></ul> LLM Engineering:&nbsp; <ul><li>Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.&nbsp;</li><li>Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.&nbsp;</li></ul> Enterprise AI Platform:&nbsp; <ul><li>Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.&nbsp;</li><li>Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.&nbsp;</li></ul> MLOps &amp; Observability:&nbsp; <ul><li>Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.&nbsp;</li><li>Applied AI Prototyping:&nbsp;</li></ul> Rapidly prototype, experiment, and iterate to improve AI agent capabilities.&nbsp; Collaboration &amp; Research:&nbsp; <ul><li>Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.&nbsp;</li><li>Collaborate effectively with other engineers, researchers, and data scientists.&nbsp;</li><li>Contribute to the documentation and standardization of technical code and practices.&nbsp;</li></ul>&nbsp;Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.&nbsp;</li><li>5+ years overall experience in software development, data science, or machine learning.&nbsp;</li><li>1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.&nbsp;</li><li>1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.&nbsp;</li></ul>

Role Description: <ul><li>Executes complex simulations in CFD and Thermal to optimize design and manufacturing.</li><li>Develops complex Multiphysics simulation methods that meets design requirements in thermal management of Electronic Systems, especially in high-speed transceivers, connectors, and their assemblies.</li></ul> Responsibilities: <ul><li>Leading the development and implementation of complex Thermal simulation models to optimize manufacturing, designs or processes.</li><li>Perform calculation &amp; simulation on temperature distribution over system.</li><li>Conducted thermo-mechanical and structural simulations to support design optimization, material selection, and validation from concept to production.</li><li>Proficient in simplifying complex CAD geometries for efficient structural and thermal simulation analyses</li><li>In-depth knowledge of mechanical design, conductive, convective, &amp; radiation heat transfer, and fluid flow mechanics.</li><li>Collaborate with designer, manufacturing, and testing teams to correlate CFD &amp; Thermal Simulation results with physical testing</li><li>Experience with DOE (Design of Experiments) and optimization techniques.</li></ul> Requirements: <ul><li>BE/ B.Tech (Mechanical)</li><li>M Tech (Mechanical) (preferred)/ PHD</li><li>Knowledge of products, design processes and methodology.</li><li>Proficiency in state-of-the-art&nbsp;</li><li>Proficiency in use of MS Office tools.</li><li>Knowledge of associated manufacturing processes (molding, stamping, plating, crimping &amp; assy).</li><li>Knowledge about the Soldering, crimping &amp; welding technologies.</li><li>Knowledge on technical paper publications &amp; applying for patents.</li><li>8- 12 years of industry experience.</li><li>Expertise in Ansys Workbench.</li><li>Experience on connector products (Plastic and Sheet Metal parts).</li><li>Knowledge on material science (Metals, Resins &amp; hyper elastic material) and implement for simulation.</li><li>Correlation of Test and simulation data / results.</li><li>Expertise on CAE tools, Optimization techniques, and testing methods.</li><li>Implementing of LEAN / 6 Sigma / Kaizen techniques to live projects.</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>Manage the day-to-day activities of the team in a safe environment and be responsible for Health and Safety goals.</li><li>Deliver on all KPIs that help the business achieve its objectives.</li><li>Lead and drive QA initiatives within the functional area.</li><li>Provide quality input and support to Manufacturing, Engineering, Prototype, and Commercial functions.</li><li>Lead, coordinate, and maintain risk assessment documentation (e.g., FMEAs).</li><li>Investigate the root cause of quality issues and implement timely and effective corrective actions to prevent recurrence for both customer and internal issues.</li><li>Strategically lead new product introduction (NPI) and contract reviews from a QA perspective.</li><li>Prepare and update Operations procedures and associated documentation.</li><li>Overall responsibility for functional area GMP standards and compliance, including promoting quality awareness.</li><li>Establish inspection standards, sampling plans, and test methods.</li><li>Report quality metrics to management.</li><li>Develop strong links with customer organizations and other project stakeholders.</li><li>Review validation documentation for the functional area.</li><li>Perform and support internal and external audits to ISO and FDA requirements.</li><li>Actively contribute to the continuous improvement of the Quality Management System.</li><li>Supervise and provide direction to quality personnel.</li><li>Perform other tasks as directed by the Operations Quality Manager in line with company goals.</li></ul> Requirements: <ul><li>Level 8 degree in Science, Engineering, or related field.</li><li>Minimum of 5 years industry experience in a medical device manufacturing environment.</li><li>People management experience.</li></ul> Key Requirements <ul><li>Clear understanding of medical device quality systems and requirements, including measurement techniques.</li><li>Experience managing and leading a team.</li><li>Strong CAPA experience.</li><li>Strong root cause analysis and problem-solving skills.</li><li>Knowledge of FDA and ISO Quality systems for medical device companies is desirable.</li><li>Experience in new product introduction (NPI) and manufacturing process transfers is desirable.</li><li>Demonstrated excellent organizational skills and ability to work independently.</li><li>Excellent written and verbal communication skills.</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>

Responsibilities: <ul><li>Develop high speed cable assembly manufacturing process in accordance with&nbsp;</li><li>product development&nbsp;</li><li>Drive for excellence in existing manufacturing technologies and methods&nbsp;</li><li>Strive to implement new manufacturing technologies to provide improved process and&nbsp;</li><li>tolerance control&nbsp;</li><li>Support Product Development in the optimization designs (DFM) and piece parts for&nbsp;</li><li>manufacturability; realizes sample tooling, product samples and prototypes.</li><li>Design, develop, and qualify tooling and processes to meet Data and Devices&nbsp;</li><li>quality and production standards.&nbsp;</li><li>Support supply chain to verify supplier compliance and capability.&nbsp;</li><li>Act as the binding element between product development and manufacturing engineering,&nbsp;</li><li>ensuring the effectiveness and efficiency of this critical interface.&nbsp;</li><li>Maintain communication with project management team to understand current and future&nbsp;</li><li>strategic business needs&nbsp;</li><li>Prioritize and time manage a portfolio of projects/work efforts based on criticality and business&nbsp;need&nbsp;</li><li>Provide readouts to Director and VP level cross function management as necessary&nbsp;</li><li>Work with Dongguan operations team to assign resources necessary for the successful&nbsp;</li><li>execution of new product development&nbsp;</li><li>Facilitate and coordinate cross-function communication across globally matrixed organization&nbsp;</li></ul> Requirements:&nbsp; <ul><li>Bachelor or above degree with mechanical/electric related majors.&nbsp;</li><li>At least 5 years related experience managerial level in multinational manufacturing site.&nbsp;</li><li>Familiar with Lean, Six Sigma. etc. industrial methods/tools.&nbsp;</li><li>With 2 years or above work experience in cable assembly industry is preferred.&nbsp;</li><li>Fluent in English and good presentation skills.&nbsp;</li><li>Familiar with MS software.&nbsp;</li><li>Familiar with industrial specification (i.e. IPC 620)</li></ul>

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78 test methods Jobs found

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Test

Senior QA Automation Engineer

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

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78 test methods Jobs found

Software Services Sales Leader

Senior Machine Learning Engineer (Production & MLOps Focus)

IIAD / SAD / LAD Artificial Intelligence Engineer

Staff Simulation Engineer - CFD

Test

Senior QA Automation Engineer

Supervisor – Quality and Reliability Engineer

Manager II – Quality & Reliability Engineering

MPDE Technician

Manager, Manufacturing & Process Development Engineering

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

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