procurement engineer

electrical engineer

software engineer

product manager

sales engineer

product engineer

SARJ

<div>About Us<div></div> 
Built with in KSA and leveraging Silicon Valley expertise, we&rsquo;re creating innovative solutions in the realm of Voice AI and AI agents. As we continue our rapid growth trajectory in an exciting and dynamic market, we&rsquo;re looking for A-players to join our team.<div></div> 
Role Overview<div></div> 
As a Product Engineer, you will work closely with the Sales, Product, Engineering, and Operations teams to understand client requirements, design and build tailored solutions, and bring them to life using Sarj AI&rsquo;s products and capabilities. You will own the solution journey end to end &mdash; from understanding the client&rsquo;s needs and proposing the right approach, to building, integrating, demonstrating, iterating, and handing over the solution to the team after signing.<div></div> 
Key Responsibilities<div></div><ul><li> 
Partner with Sales to understand client requirements and desired outcomes.</li><li>
Propose how Sarj AI can address client needs and translate requirements into practical, creative solutions.</li><li>
Design, build, and integrate tailored solutions using Sarj AI products and technologies.</li><li>
Prepare and deliver client demos, answering product, technical, and scope-related questions.</li><li>
Gather feedback and iterate on solutions based on client requirements.</li><li>
Coordinate with Product and Engineering when deeper technical input or product capabilities are needed.</li><li>
Hand over signed projects with the relevant solution details and requirements.</li><li>
Build websites and lightweight tools using modern AI-assisted and vibe-coding approaches.</li></ul><div></div> 
Requirements<div></div><ul><li> 
1+ year of experience in Product, Engineering, Business Analysis, or a similar role, preferably in a technology or startup environment.</li><li>
Excellent Arabic and English communication skills, with fluency in the Saudi dialect.</li><li>
Strong problem-solving skills and a creative approach to building solutions.</li><li>
Ability to take ownership of projects end to end.</li><li>
Comfortable working directly with clients and presenting solutions.</li><li>
Strong interest in AI and emerging technologies.</li></ul> 
Nice to Have
Experience with the following:<ul><li>
APIs, integrations, or low-code/no-code tools.</li><li>
Building prototypes, websites, or internal tools using AI-assisted coding.</li><li>
Solutions, consulting, pre-sales, or other client-facing technical roles.</li></ul><div></div> 
Why Join Us?<div></div><ul><li> 
Be part of a high-growth, innovative tech start-up.</li><li>
Work in a collaborative, mission-driven culture with hands-on exposure to innovative AI products.</li><li>
Take ownership, grow, and make a real impact through real-world challenges.</li></ul></div>

Product Engineer

MASTER-WORKS

<div>Master Works is looking for an Agentic AI, Engineer to join our growing team and design, build, and deploy agentic AI systems that can plan, reason, and act. The role covers both single-agent and multi-agent systems, as well as orchestration of workflows involving retrieval-augmented generation (RAG), context engineering, reasoning, tool calling, memory, and inter-agent communication. This role is ideal for a strong software engineer with hands-on AI/ML development experience and a passion for transforming generative AI models into reliable, goal-driven systems capable of solving complex, real-world business problems.
Key Responsibilities:<ul><li>
Architect, build, and deploy agentic AI systems that integrate AI agents with foundation models, enterprise systems, third-party tools, and APIs using established agentic frameworks or custom-built orchestrators.</li><li>
Build and maintain retrieval-augmented generation (RAG), memory, and reasoning pipelines that ground agent decisions in reliable, real-world data and enable persistent, contextual, and adaptive behavior.</li><li>
Design single-agent and multi-agent workflows, including planning, delegation, tool selection, handoffs, inter-agent communication, and human-in-the-loop controls.</li><li>
Optimize orchestration and reasoning performance while balancing autonomy, latency, cost, interpretability, reliability, and maintainability.</li><li>
Collaborate with Generative AI engineers, application engineers, MLOps engineers, and product teams to move agentic AI solutions from prototype to production.</li><li>
Monitor, evaluate, and benchmark agent performance, and help ensure AI systems are safe, accurate, trustworthy, observable, and capable of delivering a high-quality user experience.</li><li>
Document agent architectures, communication flows, guardrails, context-engineering strategies, memory design, tool interfaces, and orchestration logic to ensure clarity and reproducibility.</li><li>
Stay current with advances in agentic AI, multi-agent orchestration, RAG, model-context protocols, cognitive architectures, evaluation methods, and AI safety mechanisms.</li><li>
Collaborate with cross-functional teams to design and deliver complete AI solutions for customers.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
2+ years of hands-on experience developing agentic AI systems, LLM-powered applications, or advanced Generative AI solutions.</li><li>
Preferably 5+ years of overall professional software engineering experience</li><li>
Contributions to open-source agentic AI frameworks, orchestration platforms, evaluation tooling, or agent communication protocols.</li><li>
Experience building microservices and deploying AI applications on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).</li><li>
Experience with AI safety, guardrails, observability, traceability, evaluation, and explainability for agentic AI systems.</li><li>
Experience deploying LLM or agentic workloads in production using containers, Kubernetes, CI/CD pipelines, and modern MLOps or LLMOps practices.</li></ul>
Job Location: HQ</div>

Agentic AI, Engineer

Cognizant

Job Summary
 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.
 Responsibilities
 Telecom Domain is mandatory
 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
 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
 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
 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
 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
 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
 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
 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
 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
 Provide quality insights through detailed defect analysis and root cause discussions that drive meaningful corrective actions and systemic improvements across development and testing practices
 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
 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
 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
 Qualifications
 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
 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
 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
 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
 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
 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
 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
 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
 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
 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
 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
 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
 
Certifications Required
 Recommended certifications include ISTQB Advanced Test Automation Engineer and Java programming certification relevant to enterprise test automation.

Lead Quality Engineer

Tabby | تابي

<div>
 
 
 Department:
 
 Customer Happiness, Engineering
 
 
 
 Location:
 
 KSA
 
 
 
 
 Description
 
 
 
 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.
 
 
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 
 
 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.
 
 
 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.
 
 
 
 
 
 Key Responsibilities
 
 
 
 What you will doThis is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 
 
 <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
 
 
 </li>
 </ul>
 
 Skills, Knowledge &amp; Expertise
 
 
 
 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.
 
 
 
 </li>
 </ul>
 
 Format
 
 
 
 <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.
 
 
</div>

AI Intern

<div>
 
 Department:
 
 Customer Happiness, Engineering
 
 
 
 Employment Type:
 
 Internship
 
 
 
 Location:
 
 KSA
 
 
 
 Description
 
 
 
 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.
 
 
 This internship is not educational by default. It is an engineering-adjacent role with real production impact.
 
 
 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.
 
 
 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.
 
 
 Key Responsibilities
 
 
 This is not a demo or experimentation-only role. Interns work on real agents, workflows, and internal tools.
 
 
 <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
 
 
 
 </li>
 </ul>
 Skills, Knowledge &amp; Expertise
 
 
 <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.
 
 
 
 </li>
 </ul>
 Format
 
 
 <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.
</div>

Qiddiya Investment Company

<div>Lead the strategy, governance, delivery, and continuous enhancement of Data &amp; AI products to maximize business value realization. Drive product vision, portfolio prioritization, stakeholder alignment, product adoption, and execution excellence while ensuring alignment with organizational objectives and data-driven transformation initiatives
Key Responsibilities<ul><li>
Define and maintain the Development Data &amp; AI product strategies and roadmaps.</li><li>
Establish &amp; maintain product vision, objectives, KPIs, and value realization measures.</li><li>
Prioritize initiatives and investments based on business impact and strategic alignment.</li><li>
Manage a portfolio of data, AI, analytics, and digital products.</li><li>
Lead the end-to-end lifecycle of Data &amp; AI products.</li><li>
Oversee backlog prioritization, sprint planning, and release management.</li><li>
Ensure delivery timelines, budget adherence, and expected business outcomes.</li><li>
Resolve strategic delivery risks and roadblocks.</li><li>
Engage executive stakeholders to define priorities and strategic direction.</li><li>
Act as the primary bridge between business, technology, design, and data teams.</li><li>
Drive product adoption and business engagement across the organization.</li><li>
Champion user-centric design principles.</li><li>
Oversee user research, journey mapping, and product usability assessments.</li><li>
Ensure intuitive, scalable, and high-value user experiences.</li><li>
Establish product governance standards and operating procedures.</li><li>
Monitor product quality, performance, reliability, and compliance.</li><li>
Ensure adherence to Data Governance, PDPL, security, and organizational standards.</li><li>
Lead and mentor Product Owners, Business Analysts, and Product Management resources.</li><li>
Establish product management methodologies, templates, and standards.</li><li>
Build organizational capabilities across product management disciplines.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Data Science, Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.</li><li>
7+ years of experience in Product Management, Data Products, Analytics, or AI-related domains.</li></ul><ul><li>
Proven experience managing enterprise-scale product portfolios.</li><li>
Strong understanding of Data &amp; AI platforms, governance, analytics, and digital transformation.</li><li>
Professional certifications in Product Management, Agile, Project Management, or Change Management preferred.</li></ul></div>

Senior Manager - Product Owner

Qualcomm

<div>
 
 
 Company:
 
 
 
 
 Qualcomm Middle East Information Technology Company LLC
 
 
 
 
 Job Area:
 
 
 
 
 Engineering Group, Engineering Group &gt; Systems Engineering
 
 
 
 
 General Summary:
 
 
 
 
 
 About us
 
 
 
 Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region
 
 .
 
 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.
 
 
 
 
 About The Role
 
 
 
 
 The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond.
 
 
 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.
 
 
 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.
 
 
 
 We are looking for candidates with12+ years Systems Engineering or related work experience
 
 
 
 
 
 Responsibilities Will Include:
 
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 
 
 <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.
 
 
 
 </li>
 </ul>
 
 
 Required Qualifications
 
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 
 Preferred Qualifications And Aptitudes
 
 
 
 
 <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
 
 
 
 </li>
 </ul>
 
 
 What's On Offer
 
 
 
 
 Apart from working with great people, we offer the below:
 
 
 <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
 
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience.
 
 
 
 </li>
 </ul>
 OR
 
 
 Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience.
 
 
 OR
 
 
 PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
 
 
 <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.
 
 
 
 </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).
 
 
 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.
 
 
 
 To all Staffing and Recruiting Agencies
 
 : 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.
 
 
 If you would like more information about this role, please contact Qualcomm Careers.
</div>

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

Explore 22+ Product engineer in Riyadh this August. Find roles across top companies and apply now to boost your career.

22 product engineer jobs In Riyadh

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Senior Manager - Product Owner

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