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• Configuration of Excel catalogs supported by macros and internally developed tools
• Adjustment and update of interrelated XML files
• Maintenance of systems for storing and managing new navigation content

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• Design process of a SoC by integrating the latest Arm IP products
• Development of RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug
• Identifying and fixing bugs

• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks
• Collaboration with engineers across design, performance modelling, validation, and implementation to meet functional requirements, performance, power and area goals

• Developing testbenches and test cases to verify the design to high standards
• Investigating alternative options for existing design or verification implementations
• Developing and trialling new processes and flows to be used by the verification teams

• System IP microarchitecture specification and design
• SystemVerilog RTL verification and debug
• Formal bring-up of non-trivial IP blocks to achieve required quality levels

• Working across the software stack including firmware, operating systems, device drivers, compilers, runtimes and middleware
• Developing high-performance software for Arm’s advanced architectures, CPUs, system IP, and integrated sub-systems
• Exploring firmware and OS interactions

• Design and implement data models aligned with industry best practices
• Build and optimize scalable data warehousing and lakehouse solutions and ensure data integrity end-to-end
• Create and own robust ELT pipelines connecting multiple internal and external data sources

• Neural network compiler development for custom NN accelerator hardware in C/C++ environment
• Performance improvement and efficiency optimization of different Neural Network workloads
• Proactive exploration of new solutions and ideas for projects and sharing with the team

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

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• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels
• Proposal and prototyping of new ways and definition of methodologies to reach goals more efficiently

• Design and development of low-level software to integrate new Arm architecture features across Linux, Android, and related userspace components
• Architecture, development, and optimization of core OS subsystems with a focus on performance, power efficiency, and security

• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Maintenance of the Tulip Operating System including building, packaging, and support
• Configuration and maintenance of routing, networking, and device configurations
• Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware
• Porting the Tulip OS to other hardware targets

• Support aiSim project managers in day-to-day coordination of software development projects
• Work closely with software developers and cross-functional teams
• Record and track meeting minutes in Confluence
• Create and manage Jira tickets
• Communicate with internal and external stakeholders