software engineer

sales engineer

ai engineer

engineer

gtm engineer

test engineer

Cognizant

<b>Job Summary:</b><br>
We are seeking an experienced QA Tester with a strong background in Telecom projects to join our team. The ideal candidate will possess extensive experience in functional testing, API testing, ETL testing, database validation, and end-to-end testing. The role requires hands-on expertise in testing large-scale applications, validating complex data transformations, and ensuring high-quality deliverables across telecom platforms.
<br><br>
<b>Key Responsibilities:</b><br>
Perform Functional, Integration, End-to-End (E2E), UAT, and BAT testing for telecom applications.
<br>Conduct API testing using Postman and validate service integrations across multiple systems.
<br>Execute ETL testing both manually and using ETL tools such as Informatica.
<br>Validate data extraction, transformation, and loading processes to ensure data accuracy and integrity.
<br>Develop and execute test scenarios for complex telecom business processes.
<br>Perform defect identification, logging, tracking, and retesting using defect management tools.
<br>Create and validate complex SQL queries for backend database testing and data reconciliation.
<br>Work with Oracle databases and perform field-level mapping validations.
<br>Apply business rules and logic to validate data movement and staging environments.
<br>Collaborate with business users and stakeholders during UAT/BAT phases.
<br><br>
Explore and implement AI-driven approaches in ETL testing to improve testing efficiency and quality.
<br><br>
<b>Required Skills & Experience:</b><br>
Mandatory experience in Telecom domain projects.
<br><br>
<b>Strong expertise in:</b><br>
Functional Testing
<br>API Testing (Postman)
<br>Integration Testing
<br>End-to-End Testing
<br>UAT/BAT Testing
<br>Defect Management
<br>Hands-on experience in ETL Testing, including tools such as Informatica.
<br>Knowledge of AI implementation in ETL Testing and test automation initiatives.
<br>Advanced SQL skills with experience writing and validating complex queries.
<br>Experience working with Oracle databases and data validation techniques.
<br>Strong understanding of database structures, data mappings, and staging environments.
<br>Excellent analytical, troubleshooting, and communication skills.
<br><br>
<b>Preferred Qualifications:</b><br>
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
<br>Experience working in client-facing environments.
<br><br>
Familiarity with Agile/Scrum delivery methodologies.
<br><br>
<b>Work Requirements:</b><br>
Willingness to work from the client office, Sunday through Thursday.
<br>Ability to collaborate effectively with cross-functional teams and stakeholders.

ETL Testing

Qualcomm

<div>
 <strong>
  <strong>
   Company:
   <br/>
   <br/>
  </strong>
 </strong>
 Qualcomm Middle East Information Technology Company LLC
 <br/>
 <br/>
 <strong>
  <strong>
   Job Area:
   <br/>
   <br/>
  </strong>
 </strong>
 Engineering Group, Engineering Group &gt; Systems Engineering
 <br/>
 <br/>
 <strong>
  <strong>
   General Summary:
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  About us
  <br/>
  <br/>
 </strong>
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 <strong>
  .
 </strong>
 As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
 <br/>
 <br/>
 <strong>
  <strong>
   About The Role
   <br/>
   <br/>
  </strong>
 </strong>
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 <br/>
 <br/>
 We are seeking a Senior Staff Machine Learning Engineer to provide hands‑on technical leadership in the design, optimization, and deployment of machine learning frameworks and applications on Qualcomm AI platforms. This is an individual contributor role that operates with broad technical scope, high autonomy, and significant cross‑team impact. The successful candidate will drive complex initiatives end‑to‑end, influence technical direction through expertise and execution, and mentor engineers across the organization while remaining deeply hands‑on.
 <br/>
 <br/>
 Job activities span the full product life cycle, from early research and architecture through commercial deployment and sustained optimization. The role requires frequent cross‑functional collaboration, strong technical judgment, and the ability to independently plan, execute, and influence complex engineering efforts.
 <br/>
 <br/>
 <strong>
  We are looking for candidates with12+ years Systems Engineering or related work experience
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Responsibilities Will Include:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Research, design, develop, enhance, and implement the different components of machine learning frameworks, Graph optimizations for performance and accuracy tailored towards Qualcomm NPUs.
  </li>
  <li>
   Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
  </li>
  <li>
   Analyze and identify system level integration issues, interface with the software development, integration and test teams.
  </li>
  <li>
   Work on latest GenAI techniques and adapt those for NPUs. Architect new techniques which work best on Qualcomm SOCs and architecture.
  </li>
  <li>
   Provide technical leadership and mentorship through design reviews, architectural guidance, and hands‑on collaboration, influencing best practices without direct people‑management responsibility
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   bachelor&rsquo;s degree in engineering, Information Systems, Computer Science, or related field.
  </li>
  <li>
   12+ years Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Required Qualifications
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow.
  </li>
  <li>
   Has experience in model level optimization using techniques like torch compile.
  </li>
  <li>
   Expertise in model architecture, backed by literature rationale and intuition
  </li>
  <li>
   Understanding of broad-spectrum model architectures across modalities, ML algorithms and techniques
  </li>
  <li>
   Expertise in Model training and inference workflows.
  </li>
  <li>
   Hands-on Experience in C/C++, Python development (5+ years)
  </li>
  <li>
   Hands-on Experience with Object Orientated Design, and software development practices in general
  </li>
  <li>
   Experience with Source Code and Configuration management tools, git knowledge is required
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Preferred Qualifications And Aptitudes
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Willingness to work in a cohesive software development environment with ability to work on low level implementation (code &amp; test) and interfacing with hardware and simulators
  </li>
  <li>
   Experience in neural network architectures + ML compiler workload synthesis, a plus
  </li>
  <li>
   Prior working experience of hardware accelerators and hardware software co-design
  </li>
  <li>
   Experience of profiling software and optimization techniques
  </li>
  <li>
   Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms.
  </li>
  <li>
   A research mindset with expertise in software development
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   What's On Offer
   <br/>
   <br/>
  </strong>
 </strong>
 Apart from working with great people, we offer the below:
 <br/>
 <br/>
 <ul>
  <li>
   Salary including housing &amp; transport allowance
  </li>
  <li>
   Stock (RSU's) and performance related bonus
  </li>
  <li>
   16 weeks fully paid Maternity Leave
  </li>
  <li>
   6 weeks fully paid Paternity Leave
  </li>
  <li>
   Employee stock purchase scheme
  </li>
  <li>
   Child Education Allowance
  </li>
  <li>
   Relocation and immigration support (if needed)
  </li>
  <li>
   Life and Medical Insurance
  </li>
  <li>
   Live+ Well Reimbursement for health and recreational membership fees
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <strong>
   Minimum Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 OR
 <br/>
 <br/>
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 OR
 <br/>
 <br/>
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 <br/>
 <br/>
 <ul>
  <li>
   References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
 <br/>
 <br/>
 Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
 <br/>
 <br/>
 <strong>
  To all Staffing and Recruiting Agencies
 </strong>
 : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
 <br/>
 <br/>
 If you would like more information about this role, please contact Qualcomm Careers.
</div>


Model Accuracy and AI Performance, Senior Staff Engineer - Riyadh, KSA

Job Summary
<br>This role is for a Lead Quality Engineer with twelve to fifteen years of experience responsible for driving advanced quality practices in office based day shift work with no travel requirement. The role focuses on test automation and intelligent validation using AI code assist tools context engineering Java Selenium RestAssured Cucumber and TestNG to ensure resilient and efficient delivery of enterprise software that supports robust business operations and reliable customer experiences.
<br>Responsibilities
<br>Telecom Domain is mandatory
<br>Drive comprehensive quality engineering strategies by designing and maintaining robust test automation frameworks using Java Selenium RestAssured Cucumber and TestNG to ensure consistent and efficient validation of complex enterprise applications
<br>Oversee end to end functional integration and regression testing cycles by coordinating test planning execution and reporting activities that provide clear visibility into product quality and release readiness for stakeholders
<br>Provide deep expertise in AI code assist tools by configuring refining and governing their usage to accelerate test script development reduce human errors and improve maintainability of automation assets
<br>Apply context engineering techniques to analyze business flows data dependencies and user scenarios in order to design intelligent test suites that closely mirror real world operations and uncover subtle defects early in the lifecycle
<br>Develop robust API testing solutions using RestAssured by defining reusable components data driven tests and validation logic that safeguard reliability performance and security across critical service interfaces
<br>Implement advanced Cucumber based behavior driven testing by collaborating on clear and concise scenarios that align with business expectations and enable transparent communication between technical and nontechnical stakeholders
<br>Enhance test execution efficiency by optimizing TestNG configurations parallel runs and reporting capabilities so that large and complex test sets can be executed reliably within project timelines
<br>Monitor and improve automation stability by analyzing failures refining object identification approaches and updating test data strategies to ensure resilient scripts that can withstand ongoing product changes
<br>Collaborate with cross functional teams by reviewing requirements user stories and design artifacts to clarify acceptance criteria and strengthen test coverage of features that directly support business and customer outcomes
<br>Provide quality insights through detailed defect analysis and root cause discussions that drive meaningful corrective actions and systemic improvements across development and testing practices
<br>Contribute to continuous delivery workflows by integrating automation suites into build pipelines and release processes so that quality gates are consistently enforced and feedback loops remain fast and actionable
<br>Support company goals of reliable and trusted digital experiences by ensuring that all deliverables pass rigorous quality checks that reduce production incidents and protect customer confidence in key business services
<br>Mentor team members on modern quality engineering techniques tool usage and coding practices that raise overall capability and help the organization adopt more scalable and sustainable automation approaches
<br>Qualifications
<br>Demonstrate strong proficiency in designing and maintaining Java based automation frameworks that integrate Selenium RestAssured Cucumber and TestNG to cover web API and end to end scenarios with high reliability
<br>Exhibit hands on experience using AI code assist tools to generate refactor and validate test code while applying sound judgment to maintain code quality readability and alignment with project standards
<br>Show practical application of context engineering principles by translating business processes data models and user journeys into focused test conditions that maximize defect detection and minimize redundant effort
<br>Bring solid experience in Selenium based user interface testing with a focus on robust locators modular page structures and data management approaches that keep scripts stable under frequent interface changes
<br>Apply detailed knowledge of RestAssured to design comprehensive API validation suites including status checks payload verification schema compliance and error handling scenarios relevant to enterprise services
<br>Utilize Cucumber effectively for behavior driven testing by writing clear scenarios step definitions and reusable contexts that align with business language and promote shared understanding among stakeholders
<br>Use TestNG features such as grouping prioritization and parallel execution to organize large test suites for optimal execution time and clear reporting of results against defined quality objectives
<br>Preferably bring experience in billing and revenue management domains by understanding rating invoicing payment and reconciliation processes and translating them into meaningful test scenarios that protect financial integrity
<br>Maintain strong skills in defect management test documentation and reporting tools to ensure traceability from requirements through test cases and defects supporting audits and continuous improvement initiatives
<br>Demonstrate the ability to operate effectively in a work from office day shift environment by collaborating closely with onsite teams and aligning testing activities with daily development and release rhythms
<br>Show commitment to quality culture by actively participating in retrospectives proposing process enhancements and promoting practices that reduce defects and improve reliability of software delivered to customers
<br>Exhibit strong communication and stakeholder engagement skills by explaining quality risks test strategies and results in accessible terms that support informed decision making across business and technology groups
<br><br>
Certifications Required
<br>Recommended certifications include ISTQB Advanced Test Automation Engineer and Java programming certification relevant to enterprise test automation.

Lead Quality Engineer

Tabby | تابي

<div>
 <p>
  <strong>
   Department:
  </strong>
  Customer Happiness, Engineering
 </p>
 <p>
  <strong>
   Location:
  </strong>
  KSA
  <br/>
  <br/>
 </p>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 About the companyTabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.
 <br/>
 <br/>
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 <br/>
 <br/>
 ContextThe AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.
 <br/>
 <br/>
 The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.
 <br/>
 <br/>
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 What you will doThis is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 <br/>
 <br/>
 <ul>
  <li>
   Build AI agents and automations using internal no-code and low-code tooling
  </li>
  <li>
   Configure agent workflows, tools, and orchestration logic
  </li>
  <li>
   Integrate agents with internal systems via APIs and tools
  </li>
  <li>
   Participate in designing agent architectures and workflows
  </li>
  <li>
   Help test, evaluate, and iterate on agent behavior and quality
  </li>
  <li>
   Work with datasets and evaluation results to improve agent performance
  </li>
  <li>
   Document agent logic, workflows, and best practices
  </li>
  <li>
   Work closely with platform engineers, product managers, and internal users
  </li>
 </ul>
 Required
 <ul>
  <li>
   Strong logical and systems thinking
  </li>
  <li>
   Ability to break down human workflows into structured steps
  </li>
  <li>
   Understanding of how web services, APIs, and tools interact
  </li>
  <li>
   Experience with no-code or low-code platforms
  </li>
  <li>
   Basic understanding of data formats (JSON), APIs, and webhooks
  </li>
  <li>
   Ability to reason about edge cases, failure modes, and correctness
  </li>
  <li>
   High level of ownership and responsibility
  </li>
  <li>
   Comfort with fast iteration and experimental environments
  </li>
  <li>
   English sufficient for documentation and team communication
  </li>
 </ul>
 Strong plus
 <ul>
  <li>
   Experience with LLMs, AI agents, or automation
  </li>
  <li>
   Experience building internal tools or automations
  </li>
  <li>
   Experience with Python
  </li>
  <li>
   Education in data science, machine learning field
  </li>
  <li>
   Understanding of prompt design or agent orchestration concepts
  </li>
  <li>
   Familiarity with evaluation, testing, or quality metrics
  </li>
  <li>
   Curiosity about AI system behavior and limitations
  </li>
 </ul>
 What we do not expect
 <ul>
  <li>
   Expert-level knowledge of LLMs, agent frameworks, or prompt engineering
  </li>
  <li>
   Prior professional AI, automation, or platform engineering experience
  </li>
  <li>
   Mastery of all listed no-code platforms or LLM tooling
  </li>
  <li>
   Deep knowledge of ML internals, model training, or RAG architectures
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills, Knowledge &amp; Expertise
  <br/>
  <br/>
 </strong>
 Eligibility
 <ul>
  <li>
   Saudi nationals only
  </li>
  <li>
   Self-funded internship by Tabby
  </li>
  <li>
   We welcome both current students and fresh grads
  </li>
  <li>
   We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Format
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Paid internship
  </li>
  <li>
   Full integration into the automations building team
  </li>
  <li>
   Distributed engineering team across multiple countries
  </li>
  <li>
   Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA
  </li>
  <li>
   Office-first in Riyadh where possible
  </li>
  <li>
   Clear path to a junior AI automation, no-code engineer, or platform role based on performance
  </li>
 </ul>
 This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.
 <br/>
 <br/>
</div>


AI Intern

<div>
 <strong>
  Department:
 </strong>
 Customer Happiness, Engineering
 <br/>
 <br/>
 <strong>
  Employment Type:
 </strong>
 Internship
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 KSA
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Tabby builds financial products used by millions of users across the GCC. Alongside core fintech products, we are actively building internal platforms for AI agents and LLM-based automation used across the company.
 <br/>
 <br/>
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 <br/>
 <br/>
 The AI Agents Platform team builds an internal platform that allows teams across Tabby to create, run, evaluate, and iterate on AI agents. These agents automate real human workflows: customer support, operations, fraud checks, data validation, and internal tooling.
 <br/>
 <br/>
 The platform is young, evolving fast, and already used by multiple teams. The internship is designed for candidates who are comfortable working in ambiguous, experimental environments and can think in systems rather than isolated tasks.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 <br/>
 <br/>
 <ul>
  <li>
   Build AI agents and automations using internal no-code and low-code tooling
  </li>
  <li>
   Configure agent workflows, tools, and orchestration logic
  </li>
  <li>
   Integrate agents with internal systems via APIs and tools
  </li>
  <li>
   Participate in designing agent architectures and workflows
  </li>
  <li>
   Help test, evaluate, and iterate on agent behavior and quality
  </li>
  <li>
   Work with datasets and evaluation results to improve agent performance
  </li>
  <li>
   Document agent logic, workflows, and best practices
  </li>
  <li>
   Work closely with platform engineers, product managers, and internal users
  </li>
  <li>
   Strong logical and systems thinking
  </li>
  <li>
   Ability to break down human workflows into structured steps
  </li>
  <li>
   Understanding of how web services, APIs, and tools interact
  </li>
  <li>
   Experience with no-code or low-code platforms
  </li>
  <li>
   Basic understanding of data formats (JSON), APIs, and webhooks
  </li>
  <li>
   Ability to reason about edge cases, failure modes, and correctness
  </li>
  <li>
   High level of ownership and responsibility
  </li>
  <li>
   Comfort with fast iteration and experimental environments
  </li>
  <li>
   English sufficient for documentation and team communication
  </li>
  <li>
   Experience with LLMs, AI agents, or automation
  </li>
  <li>
   Experience building internal tools or automations
  </li>
  <li>
   Experience with Python
  </li>
  <li>
   Education in data science, machine learning field
  </li>
  <li>
   Understanding of prompt design or agent orchestration concepts
  </li>
  <li>
   Familiarity with evaluation, testing, or quality metrics
  </li>
  <li>
   Curiosity about AI system behavior and limitations
  </li>
  <li>
   Expert-level knowledge of LLMs, agent frameworks, or prompt engineering
  </li>
  <li>
   Prior professional AI, automation, or platform engineering experience
  </li>
  <li>
   Mastery of all listed no-code platforms or LLM tooling
  </li>
  <li>
   Deep knowledge of ML internals, model training, or RAG architectures
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Skills, Knowledge &amp; Expertise
 <br/>
 <br/>
 <ul>
  <li>
   Saudi nationals only
  </li>
  <li>
   Self-funded internship by Tabby
  </li>
  <li>
   We welcome both current students and fresh grads
  </li>
  <li>
   We expect a full-time level of engagement throughout the internship. The program is not part-time: interns should be ready to contribute at a full working-day pace. We understand that students may occasionally need flexibility for classes or exams, which can be aligned with the mentor in advance, but overall performance, ownership, and context involvement are expected at a full-time level.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Format
 <br/>
 <br/>
 <ul>
  <li>
   Paid internship
  </li>
  <li>
   Full integration into the automations building team
  </li>
  <li>
   Distributed engineering team across multiple countries
  </li>
  <li>
   Open to Saudi nationals (Saudi passport required); location flexible &mdash; candidates may be based outside KSA
  </li>
  <li>
   Office-first in Riyadh where possible
  </li>
  <li>
   Clear path to a junior AI automation, no-code engineer, or platform role based on performance
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 This internship is intentionally demanding and designed for candidates aiming for fast professional growth in AI agents and automation engineering.
</div>


Lenovo

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00104349
</div></div><div><div>Career area:
</div><div>Engineering
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Wednesday, August 26, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><div><p>Support QE engineer on new project NPI activities: document review, sample tracking, first‑article inspection follow‑up, test data collection &amp; sorting.</p><p>
协助 QE 工程师开展新产品导入 NPI 工作：资料核对、样品跟进、首件检验跟进、测试数据收集整理。</p></div><p></p><div><p>
Assist to compile quality documents: control plan, FMEA, inspection SOP, quality report, 8‑D report draft preparation.</p><p>
协助编制质量文件：控制计划、FMEA、检验 SOP、质量报告，起草 8‑D 报告初稿。</p></div><p></p><div><p>
Track production quality abnormal issues: collect defect photos, failure data, coordinate with production/engineering/supplier for countermeasure implementation, track improvement status.</p><p>
跟进产线质量异常：收集不良照片、失效数据，协同生产 / 工程 / 供应商落实改善对策，跟踪改善进度。</p></div><p></p><div><p>
Support incoming, in‑process &amp; outgoing quality verification; assist IQC/OQC for sample re‑check and evidence keeping.</p><p>
协助来料、过程、出货质量验证，配合 IQC/OQC 做样品复判与证据留存。</p></div><p></p><div><p>
Conduct regular quality data statistics: defect rate, reject rate, monthly quality KPI raw data sorting.</p><p>
完成日常质量数据统计：不良率、报废率，月度质量 KPI 原始数据整理。</p></div><p></p><div><p>
Support customer quality related work: sort customer complaint information, organize complaint record, assist QE for customer reply material preparation.</p><p>
支持客户质量相关工作：整理客诉信息、建立客诉台账，协助 QE 准备客户回复资料。</p></div><p></p><div><p>
Participate in internal quality audit, QCC activity, non‑conformity item follow‑up &amp; closure.</p><p>
参与内部质量审核、QCC 品质改善活动，跟进不符合项闭环。</p></div><p></p><div><p>
Complete other temporary tasks assigned by QE supervisor.</p><p>
完成上级交办的其他临时质量工作。</p></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

Lab Assistant QE

<div><div><div><div><h3 class="jobSectionHeader"><b>General Information
</b></h3></div></div><div><div><div><div>Req #
</div><div>WD00103609
</div></div><div><div>Career area:
</div><div>Engineering
</div></div><div><div>Country/Region:
</div><div>Saudi Arabia
</div></div><div><div>State:
</div><div>Riyadh
</div></div><div><div>City:
</div><div>Riyadh
</div></div><div><div>Date:
</div><div>Tuesday, August 25, 2026
</div></div><div><div>Working time:
</div><div>Full-time
</div></div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Why Work at Lenovo
</b></h3></div></div><div><div><div><div><div><div>We are Lenovo. We do what we say. We own what we do. We WOW our customers.</div><div></div><div><br>
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world&rsquo;s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo&rsquo;s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).</div></div><br>
<div></div><br>
<div>This transformation together with Lenovo&rsquo;s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.</div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Description and Requirements
</b></h3></div></div><div><div><div><div><div><div><p>Support QE engineer on new project NPI activities: document review, sample tracking, first‑article inspection follow‑up, test data collection &amp; sorting.</p><p>
协助 QE 工程师开展新产品导入 NPI 工作：资料核对、样品跟进、首件检验跟进、测试数据收集整理。</p></div><p></p><div><p>
Assist to compile quality documents: control plan, FMEA, inspection SOP, quality report, 8‑D report draft preparation.</p><p>
协助编制质量文件：控制计划、FMEA、检验 SOP、质量报告，起草 8‑D 报告初稿。</p></div><p></p><div><p>
Track production quality abnormal issues: collect defect photos, failure data, coordinate with production/engineering/supplier for countermeasure implementation, track improvement status.</p><p>
跟进产线质量异常：收集不良照片、失效数据，协同生产 / 工程 / 供应商落实改善对策，跟踪改善进度。</p></div><p></p><div><p>
Support incoming, in‑process &amp; outgoing quality verification; assist IQC/OQC for sample re‑check and evidence keeping.</p><p>
协助来料、过程、出货质量验证，配合 IQC/OQC 做样品复判与证据留存。</p></div><p></p><div><p>
Conduct regular quality data statistics: defect rate, reject rate, monthly quality KPI raw data sorting.</p><p>
完成日常质量数据统计：不良率、报废率，月度质量 KPI 原始数据整理。</p></div><p></p><div><p>
Support customer quality related work: sort customer complaint information, organize complaint record, assist QE for customer reply material preparation.</p><p>
支持客户质量相关工作：整理客诉信息、建立客诉台账，协助 QE 准备客户回复资料。</p></div><p></p><div><p>
Participate in internal quality audit, QCC activity, non‑conformity item follow‑up &amp; closure.</p><p>
参与内部质量审核、QCC 品质改善活动，跟进不符合项闭环。</p></div><p></p><div><p>
Complete other temporary tasks assigned by QE supervisor.</p><p>
完成上级交办的其他临时质量工作。</p></div></div>
</div></div><div><div><div><i>We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.</i></div>
</div></div></div></div></div><div></div><div><div><div><div><div><b>Additional Locations</b>:
<ul><li>Saudi Arabia</li></ul>
</div></div><div><ul><li>Saudi Arabia<br>
</li></ul></div><div></div><div><div><div><br>
<br>
<div><b>AI PROCESSING NOTICE</b></div><div></div><div><br>
We use AI-based tools to support some of our processes (e.g. online interviews recordings and transcripts) in order to achieve better efficiency, accuracy and for our documentation purposes. AI can make mistakes, but we always make sure that the outputs are manually reviewed by a human. You can always opt-out or contact us in case of any question.</div></div></div></div></div></div></div></div>

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