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YO IT Consulting

<div>
 
 Job Description
 
 
 
 
 Job Title:
 
 AI Engineer
 
 
 
 Job Type:
 
 Contract
 
 
 
 Location:
 
 Remote
 
 
 
 Job Summary:
 
 In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required &mdash; your domain knowledge is what matters.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize robust machine learning models for production environments.
 </li>
 <li>
 Implement and automate end-to-end ML pipelines using CI/CD best practices.
 </li>
 <li>
 Leverage AWS services for scalable AI infrastructure and model deployment.
 </li>
 <li>
 Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability.
 </li>
 <li>
 Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions.
 </li>
 <li>
 Evaluate, preprocess, and frame real-world data problems for effective machine learning applications.
 </li>
 <li>
 Document and communicate findings, solution approaches, and technical decisions with clarity and precision.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven expertise in machine learning algorithms, model development, and deployment.
 </li>
 <li>
 Strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects.
 </li>
 <li>
 In-depth experience with CI/CD workflows and automation tools.
 </li>
 <li>
 Hands-on expertise with AWS cloud services for ML applications and data pipelines.
 </li>
 <li>
 Advanced knowledge of Kubernetes for orchestrating containerized ML workloads.
 </li>
 <li>
 Exceptional written and verbal communication skills, with a focus on clear technical documentation and team collaboration.
 </li>
 <li>
 Demonstrated ability to scope, structure, and solve complex, real-world data challenges.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with deep learning frameworks such as TensorFlow or PyTorch.
 </li>
 <li>
 Experience working in high-growth or startup environments.
 </li>
 <li>
 Strong publication record or contributions to open-source AI projects.
 </li>
 </ul>
</div>

AI Engineer - Remote

Brainlake

<div>
 We're looking for a hands-on
 
 AI Automation Engineer
 
 to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.
 
 
 You'll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.
 
 
 This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.
 
 
 ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
 
 
 ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
 
 
 ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
 
 
 ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
 
 
 ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
 
 
 ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users
 
 
 ❏ Build automated reporting, monitoring, and business intelligence workflows
 
 
 ❏ Conduct workflow discovery sessions and identify automation opportunities across departments
 
 
 ❏ Create technical documentation, architecture diagrams, and deployment guidelines
 
 
 ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
 
 
 ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions
 
 
 
 Requirements
 
 
 
 ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems
 
 
 ❏ Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
 
 
 ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
 
 
 ❏ Understand prompt engineering, AI orchestration, and agent-based systems
 
 
 ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
 
 
 ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
 
 
 ❏ Have experience working with structured and unstructured data
 
 
 ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript
 
 
 ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
 
 
 ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
 
 
 ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
 
 
 ❏ Have built customer service, sales, HR, finance, or operations AI agents
 
 
 ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
 
 
 ❏ Think in systems and enjoy simplifying complex business processes
 
 
 ❏ Communicate clearly and take ownership of delivery
 
 
 ❏ Have strong troubleshooting and problem-solving skills
 
 
 ❏ Are comfortable working directly with clients and stakeholders
 
 
 ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
 
 
 ❏ Have a track record of reducing manual processes through intelligent automation
 
 
 ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients
 
 
 ❏ Continuously identify opportunities to introduce AI and automation into business operations
</div>

AI Automation Engineer

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>

Senior Consultant - AI Software Engineer- AI Hub - Cairo

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior DevOps Engineer
 
 
 
 Job Description
 
 
 
 SiliconExpert Technologies, Inc. is looking for Senior DevOps Engineers with strong development background, who will be responsible for enabling faster release and deployment cycles, by taking advantage of agile development methodologies, improved collaboration between business stakeholders, application development and operations teams and automation tools, they will work collaboratively with software engineering to deploy and operate our systems, automate and streamline our operations and processes, build and maintain tools for deployment, monitoring and alerting, and troubleshoot and resolve issues in our Dev/QA/Prod. environments.
 
 
 
 Job Overview
 
 
 
 
 Primary focus for the role developing and building containerization solutions, Senior DevOps Engineer installs and configures solutions, implement reusable components, translate technical requirements, and assist with all stages of test data and monitoring the container orchestration layer
 
 .
 
 
 Senior DevOps Engineer will build automated deployments, through the use of configuration management technology, helps create requirements and procedures for implementing routine maintenance, deploy new modules and upgrades and complete fixes within the production environment and troubleshooting existing information systems for errors and resolving those errors.
 
 
 Senior DevOps Engineer will build and implement infrastructure / application disaster recovery solution, through the use of infrastructure as code technology.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Take the full responsibility to write dockerfile for all apps and Transform Spring boot Java application and Nodejs/Angular/ PHP to containerized images.
 </li>
 <li>
 Using AWS Services to store and run the images with EKS orchestration layer.
 </li>
 <li>
 Plan, design, sizing, Implement and operate the Kubernetes cluster using EKS infrastructures and other integrated AWS services.
 </li>
 <li>
 Using ArgoCD and Helm for application deployments.
 </li>
 <li>
 Automate the infrastructure provisioning &amp; operations using Terraform.
 </li>
 <li>
 Automate the Configuration management using ansible.
 </li>
 <li>
 Plan and Implement DR Plan on AWS.
 </li>
 <li>
 On call duties.
 </li>
 <li>
 Troubleshooting existing information systems for errors and resolving those errors.
 </li>
 <li>
 Work closely with development &amp; QA teams to create processes and tools that provide immediate feedback on source changes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Bachelor&rsquo;s degree in Computer Engineering / Computer Science or equivalent education in the form of work experience at similar technology positions.
 
 
 A minimum of 3 years of work experience as a Developer/Systems Administrator/DevOps, supporting development teams (sysadmins + Java/Angular software development).
 
 
 <ul>
 <li>
 Experience in containers/container orchestration platforms; Docker, Kubernetes and AWS EKS. (Minimum of 2 years of work experience)
 </li>
 <li>
 Experience in ArgoCD, Helm and EKS cluster monitoring and Auto scaling.
 </li>
 <li>
 Experienced with Terraform as IaC knowledge, integrated with AWS different services (EC2, ECR, EKS, VPC, IAM, S3, ELB).
 </li>
 <li>
 Experienced in AWS platform as DevOps (Deployment strategies, Disaster Recovery, IaC, Security and Automation).
 </li>
 <li>
 Strong Knowledge in AWS platform as Solutions Architect (High availability, elasticity, Scalability, Migration and Cost Estimated / Optimization).
 </li>
 <li>
 Good Knowledge with Ansible for configuration management integrating with AWS different services to automate different tasks.
 </li>
 <li>
 Strong Knowledge of managing CI/CD tools preferably Jenkins.
 </li>
 <li>
 Good Knowledge of monitoring and logging tools ELK, Newrelic.
 </li>
 <li>
 knowledge of Build Tools (Maven, AngularJS) and Webservers Tomcat/Apache
 
 
 </li>
 </ul>
 
 Certificates
 
 
 
 AWS DevOps Professional is advanced.
 
 
 CKAD / CKA is advanced.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior DevOps Engineer

The Flex

<div>
 At The Flex, we believe renting a home should be as effortless as booking a ride.
 
 
 Our mission is ambitious: enable anyone to live anywhere, anytime, without friction.
 
 
 Powered by Base360.ai, our proprietary technology platform, we are building the operating system for modern renting&mdash;automating operations, connecting fragmented systems, and creating seamless experiences for guests, landlords, and operators across the world.
 
 
 We're looking for a Founding Software Engineer to help architect and build the technology that powers the future of The Flex.
 
 
 This is not a typical engineering role.
 
 
 You'll work directly with the founder, influence product strategy, make architectural decisions, and build systems that become the foundation of a global business.
 
 
 You'll have extraordinary ownership, responsibility, and impact from day one.
 
 
 What You'll Build
 
 
 As a Founding Software Engineer, you'll help create and scale Base360.ai&mdash;the technology platform that powers every aspect of The Flex.
 
 
 From AI-powered workflows and booking systems to operational automation and intelligent decision-making, you'll build products that directly impact revenue, efficiency, and customer experience.
 
 
 You won't just ship features.
 
 
 You'll create systems that replace manual work, unlock scale, and become a competitive advantage for the company.
 
 
 Your Mission
 
 
 Build Core Products
 
 
 Design, build, and launch the software that powers bookings, pricing, payments, operations, communications, and guest experiences.
 
 
 Architect the Platform
 
 
 Make key technical decisions and help define the long-term architecture of Base360.ai.
 
 
 Create Automation at Scale
 
 
 Develop workflows and systems that automate operational processes across multiple countries and thousands of stays.
 
 
 Leverage AI
 
 
 Build AI-powered tools, agents, and workflows that improve productivity, decision-making, and customer experience.
 
 
 Integrate the Ecosystem
 
 
 Develop and maintain integrations with platforms including Airbnb, Hostaway, Stripe, Twilio, Google, OpenAI, and other strategic partners.
 
 
 Move Fast
 
 
 Operate with urgency and ownership, turning ideas into production-ready solutions quickly and effectively.
 
 
 Solve Real Problems
 
 
 
 Work On Challenges Such As
 
 
 
 <ul>
 <li>
 Reservation synchronization
 </li>
 <li>
 Dynamic pricing
 </li>
 <li>
 Smart access management
 </li>
 <li>
 Guest communication automation
 </li>
 <li>
 Operational forecasting
 </li>
 <li>
 Maintenance and cleaning automation
 </li>
 <li>
 AI-powered alerts and monitoring
 </li>
 <li>
 Revenue optimization
 
 
 </li>
 </ul>
 Help Build the Company
 
 
 As one of the first engineers, your influence will extend beyond code. You'll help shape processes, culture, product direction, and the future engineering team.
 
 
 Tech Stack
 
 
 
 Our Current Stack Includes
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 FastAPI
 </li>
 <li>
 React
 </li>
 <li>
 TypeScript
 </li>
 <li>
 Supabase
 </li>
 <li>
 PostgreSQL
 </li>
 <li>
 AWS
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Stripe
 </li>
 <li>
 Twilio
 </li>
 <li>
 Docker
 </li>
 <li>
 GitHub Actions
 
 
 </li>
 </ul>
 We care more about your ability to learn and build than your experience with any specific technology.
 
 
 What We're Looking For
 
 
 Must Have
 
 
 <ul>
 <li>
 Strong software engineering fundamentals
 </li>
 <li>
 Experience building production-grade applications
 </li>
 <li>
 Strong understanding of APIs, databases, and system design
 </li>
 <li>
 Product mindset and customer obsession
 </li>
 <li>
 Ability to work independently with minimal supervision
 </li>
 <li>
 Strong problem-solving ability
 </li>
 <li>
 High level of ownership and accountability
 
 
 </li>
 </ul>
 Bonus Points
 
 
 <ul>
 <li>
 Startup experience
 </li>
 <li>
 Experience with AI products or LLM integrations
 </li>
 <li>
 Experience building SaaS products
 </li>
 <li>
 Experience with FastAPI, React, AWS, or Supabase
 </li>
 <li>
 Marketplace, travel, or PropTech experience
 
 
 </li>
 </ul>
 What Success Looks Like
 
 
 
 Within Your First Year
 
 
 
 <ul>
 <li>
 Critical company operations are automated through systems you've built
 </li>
 <li>
 Base360.ai becomes a core competitive advantage
 </li>
 <li>
 New products are shipped rapidly and reliably
 </li>
 <li>
 Engineering velocity increases significantly
 </li>
 <li>
 AI-powered workflows are embedded across the business
 </li>
 <li>
 The platform is ready to scale internationally
 
 
 </li>
 </ul>
 Why Join The Flex
 
 
 Massive Impact
 
 
 Your work will directly shape how thousands of people live, travel, and experience cities.
 
 
 Founding-Level Ownership
 
 
 You'll have significant influence over product, technology, and company direction.
 
 
 Build Alongside the Founder
 
 
 Work closely with leadership and help define the future of the business.
 
 
 Learn Faster
 
 
 Gain exposure to engineering, AI, product, operations, growth, and company-building.
 
 
 Performance-Based Rewards
 
 
 Competitive compensation with meaningful upside for exceptional contributors.
 
 
 Remote-First
 
 
 Work from anywhere. We care about results, not hours.
 
 
 This Role Is Not For You If
 
 
 <ul>
 <li>
 You're looking for a predictable corporate environment
 </li>
 <li>
 You prefer maintaining systems rather than building them
 </li>
 <li>
 You need constant direction and supervision
 </li>
 <li>
 You avoid ownership outside your immediate responsibilities
 </li>
 <li>
 You are uncomfortable with change, ambiguity, and rapid execution
 
 
 </li>
 </ul>
 If you're excited by building products, solving hard problems, leveraging AI, and helping create the operating system for modern renting, we'd love to hear from you.
 
 
</div>

Founding Software Engineer

invygo

<div>
 
 About Invygo
 
 
 
 invygo was founded in 2018 in Dubai with the purpose of
 
 redefining mobility in the Middle East and North Africa (MENA)
 
 . Fuelled by a passion for innovation, technology and mobility, our mission is to empower people to move on their own terms, minimising the frustrations caused by traditional car ownership models. We make car access seamless and flexible for everyone.. We believe invygo is the smartest way to move, and to keep living up to our ideal, we rely on our people to share these goals and ambitions. Headquartered in Dubai, with offices in Riyadh and Cairo, our team consists of passionate, dedicated,
 
 bold innovators
 
 that are relentless in enabling the company to deliver a trusted and personalised experience that transforms how people move in MENA. With successful expansions into
 
 UAE,
 
 
 Saudi Arabia
 
 and
 
 Qatar
 
 , our footprint is rapidly growing as we continue to innovate and transform the automotive landscape across the region.
 
 
 At invygo, we're not just offering a service; we're crafting a new era of mobility in MENA. We are always seeking passionate, dedicated and innovative thinkers to join us in making our future vision a reality. If you are that person, join us in moving the MENA mobility landscape forward and continuing to insure that invygo is, and remains, the smartest way to move.
 
 
 
 About The Role
 
 
 
 As a QA Engineer at invygo, you will play a hands-on role in ensuring the quality and reliability of our subscription-based car platform. You will execute test strategies, contribute to automation efforts, and work closely with engineers and product managers to catch issues early and ship with confidence.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Execute test plans: Perform thorough functional, regression, and exploratory testing across features and releases
 </li>
 <li>
 Support automation: Contribute to and maintain automation frameworks and test scripts
 </li>
 <li>
 Collaborate cross-functionally: Work closely with developers and product managers to understand requirements and surface quality risks early
 </li>
 <li>
 Document and report: Write clear bug reports, test cases, and test summaries that inform stakeholders
 </li>
 <li>
 Improve test coverage: Identify gaps in existing test suites and propose improvements to coverage and processes
 </li>
 <li>
 Participate in QA reviews: Contribute to sprint planning, grooming, and retrospectives with a quality-focused lens
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 2 - 4 years of hands-on QA experience in a product or software engineering environment
 </li>
 <li>
 Solid experience with both manual testing and writing automated test scripts
 </li>
 <li>
 Familiarity with at least one automation framework (e.g. Maestro, Selenium, Cypress, Playwright, Appium, etc)
 </li>
 <li>
 Experience with Git
 </li>
 <li>
 Strong attention to detail with the ability to think through edge cases and failure scenarios
 </li>
 <li>
 Clear communicator who can work effectively in a collaborative, fast-paced startup environment
 </li>
 </ul>
</div>

QA Engineer

Synopsys Inc

<div>
 
 We Are:
 
 
 
 At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
 
 
 
 You Are:
 
 
 
 A seasoned engineer with over five years of experience in virtual prototyping and embedded systems, you bring deep expertise in SystemC, C++, and Python. Comfortable leading R&amp;D initiatives, mentoring peers, and collaborating across teams, your strong analytical mindset and technical leadership set you apart. Skilled in debugging complex software stacks, you balance accuracy, performance, and usability to deliver innovative solutions. Fluent in English, detail-oriented, and passionate about continuous improvement, you thrive in dynamic environments and are eager to contribute to Synopsys&rsquo; cutting-edge technology.
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 
 <ul>
 <li>
 Lead R&amp;D initiatives in virtual prototyping using Synopsys Virtualizer&trade; to enable early software development and architectural exploration.
 </li>
 <li>
 Define, evolve, and implement SystemC modeling standards and virtual platform architectures for complex embedded and SoC-based systems.
 </li>
 <li>
 Architect and develop SystemC/TLM2.0 models, integrating C++ models for CPUs, interconnects, memories, and peripherals within the Virtualizer environment.
 </li>
 <li>
 Customize and configure Virtualizer platforms to support early firmware, bootloader development, and Linux/RTOS bring-up and debugging.
 </li>
 <li>
 Optimize virtual platforms for performance, scalability, and usability, integrating with debuggers, build systems, and CI pipelines.
 </li>
 <li>
 Drive advanced software debugging, conducting deep root-cause analysis across hardware models and software stacks, and implementing long-term fixes and improvements.
 </li>
 <li>
 Utilize Python for Virtualizer automation, simulation orchestration, and test/regression frameworks.
 </li>
 <li>
 Conduct design and code reviews, mentor engineers, and foster technical excellence across teams.
 
 
 </li>
 </ul>
 
 The Impact You Will Have:
 
 
 
 <ul>
 <li>
 Accelerate early software development and system validation for Synopsys&rsquo; customers, enabling faster time-to-market for innovative products.
 </li>
 <li>
 Advance the capabilities and performance of Synopsys Virtualizer&trade;, setting industry standards in virtual prototyping and embedded system modeling.
 </li>
 <li>
 Shape the architectural direction of virtual platform solutions, ensuring their scalability, accuracy, and usability for complex SoC designs.
 </li>
 <li>
 Mentor and uplift engineering teams, fostering a culture of technical excellence, collaboration, and continuous learning.
 </li>
 <li>
 Drive improvements in simulation workflows, debugging tools, and automation frameworks, enhancing productivity and reliability.
 </li>
 <li>
 Contribute to Synopsys&rsquo; leadership in semiconductor and embedded software innovation, impacting global industries from automotive to IoT.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need:
 
 
 
 <ul>
 <li>
 5+ years of professional experience in virtual prototyping, R&amp;D, and embedded systems.
 </li>
 <li>
 Bachelor&rsquo;s degree in Communication and Electronics Engineering or Computer Engineering, graduated with Very Good with Honors or GPA &ge; 3.5.
 </li>
 <li>
 Expert-level proficiency in C++ (C++11/14/17 or later), with advanced software debugging skills.
 </li>
 <li>
 Very strong SystemC expertise, including TLM2.0, loosely/approximately timed modeling, timing, synchronization, and model composition.
 </li>
 <li>
 Python proficiency for automation, scripting, and testing in complex simulation environments.
 </li>
 <li>
 Strong understanding of embedded systems architecture (ARM/RISC-V processors, memory-mapped I/O, interrupts, DMA, timers, interconnects).
 </li>
 <li>
 Excellent command of Linux, including development and debugging workflows.
 </li>
 <li>
 Fluent English communication skills (written and spoken).
 </li>
 <li>
 Military service status: completed or exempted.
 </li>
 <li>
 Hands-on experience with Synopsys Virtualizer&trade; and knowledge of functional safety standards (e.g., ISO 26262) are assets.
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 A proactive technical leader with strong analytical and problem-solving skills.
 </li>
 <li>
 An effective communicator who collaborates seamlessly across teams and disciplines.
 </li>
 <li>
 A mentor and coach, passionate about sharing knowledge and elevating others.
 </li>
 <li>
 Adaptable and resilient, able to thrive in fast-paced, evolving environments.
 </li>
 <li>
 Detail-oriented, organized, and committed to delivering high-quality results.
 </li>
 <li>
 Inclusive and open-minded, welcoming diverse perspectives and approaches.
 
 
 </li>
 </ul>
 
 The Team You&rsquo;ll Be A Part Of:
 
 
 
 You&rsquo;ll join a dynamic and innovative R&amp;D engineering group at Synopsys, dedicated to advancing virtual prototyping solutions and embedded systems modeling. The team is composed of experts in SystemC, C++, embedded software, and hardware architecture, working collaboratively to deliver high-impact solutions for global customers. Together, you&rsquo;ll pioneer new technologies, set industry standards, and drive the future of system-level design and verification.
 
 
 
 Rewards and Benefits:
 
 
 
 We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
 
 
 #TPG
</div>

Staff Engineer (R&D Engineering)

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