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As an SDV Architect for Test &amp; vECU, you will play a leading role in the development of modern test strategies and test environments. You will combine technical depth with strategic thinking and clear, compelling communication.</p>\n<p>Your responsibilities will include:</p>\n<ul>\n<li>Developing and implementing a comprehensive shift-left test strategy for SDV systems based on vECU virtualisation, including business case evaluation, tool comparison, scalability, and cost models</li>\n<li>Designing, building, and further developing cloud-based test environments for embedded and software-defined vehicle systems</li>\n<li>Providing strategic advice to OEMs, Tier-1s, and technology partners on cloud, hybrid, and hardware test approaches throughout the entire development cycle</li>\n<li>Evaluating, selecting, and integrating leading vECU solutions into existing toolchains and CI/CD pipelines</li>\n<li>Active stakeholder management, including customer contact, pre-sales support, and presenting strategic recommendations at the management level</li>\n<li>Introducing and scaling AI-driven methods in quality assurance, such as intelligent test prioritisation, anomaly detection, or data-driven optimisation of test strategies</li>\n</ul>\n<p>To be successful in this role, you will need:</p>\n<ul>\n<li>A degree in computer science, electrical engineering, or a related field, combined with over 5 years of experience in test automation of embedded or SDV systems (e.g. ADAS, infotainment, or zone architectures)</li>\n<li>Practical experience with vECU approaches from at least two projects, including setting up cloud-based test environments and integration into CI/CD pipelines</li>\n<li>Passion for modern software-defined vehicle architectures, innovative test methods, and the use of AI in quality assurance, such as intelligent test case generation, fault classification, or anomaly detection</li>\n<li>Expertise in cloud and virtualisation technologies, particularly container and VM-based test infrastructures, as well as hybrid cloud/HIL scenarios</li>\n<li>Strong understanding of the market and technology landscape in the areas of vECU, SDV, and automotive testing, combined with experience with common toolchains</li>\n</ul>\n<p>As an ideal candidate, you will be characterised by a structured and analytical approach, the ability to clearly present complex and unclear problem statements, and derive decision options for management and technology. You will also possess strong communication and advisory skills, as well as a leadership mindset with technical expertise, clarity, and initiative.</p>\n<p>The position is available immediately, and we offer a competitive salary and benefits package. If you are interested in this exciting opportunity, please submit your application, including your resume and cover letter, to our careers portal.</p>\n<p>We look forward to hearing from you!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e97f854b-b4c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"MHP","sameAs":"https://www.mhp.com","logo":"https://logos.yubhub.co/mhp.com.png"},"x-apply-url":"https://jobs.porsche.com/index.php?ac=jobad&id=20406","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"Competitive salary and benefits package","x-skills-required":["vECU","SDV","test automation","cloud computing","virtualisation","containerisation","VM-based test infrastructure","hybrid cloud/HIL scenarios","AI-driven methods","quality assurance","test prioritisation","anomaly detection","data-driven optimisation"],"x-skills-preferred":[],"datePosted":"2026-04-22T17:32:12.180Z","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Automotive","skills":"vECU, SDV, test automation, cloud computing, virtualisation, containerisation, VM-based test infrastructure, hybrid cloud/HIL scenarios, AI-driven methods, quality assurance, test prioritisation, anomaly detection, data-driven optimisation"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0f1573af-ea2"},"title":"Integration Specialist","description":"<p>As an integration specialist, you will develop and deploy AI-driven applications on SAP BTP to enhance productivity and automate integration workflows. You will design and implement integration architectures using SAP Integration Suite, middleware tools, and hybrid cloud patterns. Your expertise will also be utilized to develop OData-based technical designs to enable API-driven connectivity across SAP and non-SAP systems. Additionally, you will leverage SAP Event Mesh for event-driven integration and asynchronous communication, and utilize SAP Cloud Connector to securely bridge on-premise systems with SAP BTP services. You will also design and consume Custom CDS Views for data modeling, reporting, and integration, and develop and enhance ABAP interfaces for custom integration scenarios. Furthermore, you will implement AI governance and security practices ensuring compliance, transparency, and trust in AI-driven workflows. 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The line of work is consulting, and language skills required include fluency in written and spoken English. Flexibility and willingness to travel are also essential, as is a valid work permit. 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On the Solutions Engineering team, you will find an environment where everyone brings different strengths and jumps in to help each other. If you are passionate about technology and look forward to helping customers and ecosystem organisations realise the full promise of Cloudflare, we&#39;d love to hear from you.</p>\n<p>What makes Cloudflare special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo: Since 2014, we&#39;ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_8a144188-686","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Cloudflare","sameAs":"https://www.cloudflare.com/","logo":"https://logos.yubhub.co/cloudflare.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/cloudflare/jobs/7742347","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting","Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN","Cloud networking concepts: VPCs, peering, interconnect","DDoS attack types (L3/L4/L7) and mitigation strategies","Web Application Firewall (WAF) rule configuration and tuning","VPN concepts and their limitations relative to Zero Trust approaches","API security: API Gateway, rate limiting, schema validation, abuse prevention","Bot management concepts and detection techniques","SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform)","Zero Trust Network Access (ZTNA) vs. traditional VPN architecture","HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics","Detailed understanding of the flow from user to application, including hybrid cloud architectures","Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models)","Familiarity with Infrastructure-as-Code concepts (e.g. Terraform)","Cloudflare Workers and the edge compute model (JavaScript/TypeScript)","Familiarity with related primitives: KV, Object storage, serverless compute","Familiarity with the competitive landscape across Cloudflare's product areas","Understanding of why customers move from on-premises appliances to cloud-delivered security","Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:46:26.177Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hybrid"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Networking technologies including TCP/IP, UDP, DNS (authoritative and recursive, DNSSEC), IPv4/IPv6, BGP routing, Autonomous Systems, subnetting, Tunneling and connectivity: GRE, IPsec, MPLS, SDWAN, Cloud networking concepts: VPCs, peering, interconnect, DDoS attack types (L3/L4/L7) and mitigation strategies, Web Application Firewall (WAF) rule configuration and tuning, VPN concepts and their limitations relative to Zero Trust approaches, API security: API Gateway, rate limiting, schema validation, abuse prevention, Bot management concepts and detection techniques, SASE concepts and Zero Trust Networking architectures (ZTNA, CASB, SWG, DLP, RBI as integrated platform), Zero Trust Network Access (ZTNA) vs. traditional VPN architecture, HTTP technologies and reverse proxy architecture: WAF, CDN, caching mechanics, Detailed understanding of the flow from user to application, including hybrid cloud architectures, Working knowledge of major cloud platforms: AWS, Azure, GCP (architecture patterns, native security tooling, VPC/peering models), Familiarity with Infrastructure-as-Code concepts (e.g. Terraform), Cloudflare Workers and the edge compute model (JavaScript/TypeScript), Familiarity with related primitives: KV, Object storage, serverless compute, Familiarity with the competitive landscape across Cloudflare's product areas, Understanding of why customers move from on-premises appliances to cloud-delivered security, Awareness of relevant industry verticals: Financial Services, eCommerce, Gaming, Media, SaaS, Healthcare"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_cbc0884f-89f"},"title":"Sr. Staff Engineer (Cloud, Python, Go, LLM)","description":"<p>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.</p>\n<p>Join us to transform the future through continuous technological innovation. You are a visionary engineer with a passion for leveraging advanced technologies to solve complex challenges. You thrive in dynamic environments, consistently pushing boundaries to drive innovation. With over eight years of experience in distributed systems, enterprise software, and microservices, you possess deep technical expertise and a strong foundation in Python, Go, and modern cloud platforms.</p>\n<p>Your knowledge of Kubernetes, containerization, and hybrid cloud architectures is complemented by a robust understanding of Linux systems and automation tools. You are skilled at collaborating across globally distributed teams, bringing clarity to technical discussions and architectural designs. You are self-driven, continuously seeking to learn and experiment with emerging technologies,including Generative AI and LLMs.</p>\n<p>Your communication skills enable you to articulate ideas clearly and influence stakeholders, whether they are internal R&amp;D teams or external customers. You are motivated by opportunities to democratize AI, streamline development processes, and empower others with innovative solutions. Your curiosity and resilience drive you to prototype, test, and refine new concepts, ensuring Synopsys remains at the forefront of the industry.</p>\n<p>Above all, you value inclusivity, teamwork, and the pursuit of excellence.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Design, develop, and maintain scalable cloud services for R&amp;D teams to host Generative AI applications on leading cloud platforms.</li>\n</ul>\n<ul>\n<li>Build and deliver cloud-native, containerized AI systems for on-premises customers, ensuring seamless integration and deployment.</li>\n</ul>\n<ul>\n<li>Lead orchestration of GPU scheduling within Kubernetes ecosystems, utilizing tools like Nvidia GPU Operator and Multi-Instance GPU (MIG).</li>\n</ul>\n<ul>\n<li>Architect reliable and cost-effective hybrid cloud solutions using cutting-edge technologies such as Docker, Kubernetes Cluster Federation, and Azure Arc.</li>\n</ul>\n<ul>\n<li>Streamline onboarding processes for internal products and external customers, creating assets and artifacts that facilitate access to GenAI technologies.</li>\n</ul>\n<ul>\n<li>Collaborate with external customers to understand their environments, constraints, and architectures, defining and integrating tailored platforms and products.</li>\n</ul>\n<ul>\n<li>Prototype, experiment, and test newer technologies,including Generative AI, LLMs, and inference servers,to drive innovation within Synopsys.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>BS/MS in Computer Science, Software Engineering, or equivalent.</li>\n</ul>\n<ul>\n<li>8+ years of experience in distributed systems, enterprise software, and microservices.</li>\n</ul>\n<ul>\n<li>Expert proficiency in Python and Go programming languages.</li>\n</ul>\n<ul>\n<li>Deep understanding of Kubernetes (on-premises and managed services like AKS/EKS/GKE).</li>\n</ul>\n<ul>\n<li>Strong systems knowledge,Linux kernel, cgroups, namespaces, and Docker.</li>\n</ul>\n<ul>\n<li>Experience with CI/CD automation, Infrastructure as Code (IaC), and cloud providers (AWS/GCP/Azure).</li>\n</ul>\n<ul>\n<li>Ability to design complex distributed systems and solve challenging problems efficiently.</li>\n</ul>\n<ul>\n<li>Experience with RDBMS (PostgreSQL preferred) for handling large data sets.</li>\n</ul>\n<ul>\n<li>Excellent written and verbal communication skills.</li>\n</ul>\n<ul>\n<li>Self-motivated with a continuous learning mindset.</li>\n</ul>\n<ul>\n<li>Experience working with globally distributed teams.</li>\n</ul>\n<ul>\n<li>Nice to have: Experience with Generative AI, LLMs, inference servers, and prototyping new technologies.</li>\n</ul>\n<p><strong>Who You Are</strong></p>\n<ul>\n<li>Innovative problem-solver who thrives in ambiguity and complexity.</li>\n</ul>\n<ul>\n<li>Collaborative team player, comfortable working with global and cross-functional teams.</li>\n</ul>\n<ul>\n<li>Clear and effective communicator, able to articulate technical concepts to diverse audiences.</li>\n</ul>\n<ul>\n<li>Resilient and adaptable, eager to learn and experiment with new technologies.</li>\n</ul>\n<ul>\n<li>Inclusive and empathetic, valuing diverse perspectives and backgrounds.</li>\n</ul>\n<ul>\n<li>Driven by curiosity, continuous improvement, and the pursuit of excellence.</li>\n</ul>\n<p><strong>The Team You’ll Be A Part Of</strong></p>\n<p>You’ll join the Synopsys Platform Engineering team,an innovative, globally distributed group dedicated to transforming R&amp;D product development and deployment. Our team is passionate about leveraging cloud, containerization, and AI technologies to streamline workflows and accelerate innovation. We work collaboratively, experiment boldly, and support each other in delivering high-impact solutions that shape the future of electronic design automation.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cbc0884f-89f","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Synopsys","sameAs":"https://careers.synopsys.com","logo":"https://logos.yubhub.co/careers.synopsys.com.png"},"x-apply-url":"https://careers.synopsys.com/job/hyderabad/sr-staff-engineer-cloud-python-go-llm/44408/92664451936","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","Go","Kubernetes","containerization","hybrid cloud architectures","Linux systems","automation tools","CI/CD automation","Infrastructure as Code (IaC)","cloud providers (AWS/GCP/Azure)","RDBMS (PostgreSQL)"],"x-skills-preferred":["Generative AI","LLMs","inference servers","prototyping new technologies"],"datePosted":"2026-04-05T13:22:46.510Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hyderabad"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Go, Kubernetes, containerization, hybrid cloud architectures, Linux systems, automation tools, CI/CD automation, Infrastructure as Code (IaC), cloud providers (AWS/GCP/Azure), RDBMS (PostgreSQL), Generative AI, LLMs, inference servers, prototyping new technologies"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_73d1cb60-2a8"},"title":"Cloud Engineer","description":"<p>We are seeking an experienced Cloud Engineer to join our team. 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