Software development engineer állások Budapesten (it programozás, fejlesztés)

• Fejlesztési folyamatok támogatása DevOps eszközökkel
• Központi, integrált CI/CD megoldás támogatása és fejlesztése, valamint új projektek bevonása
• Együttműködés az infrastruktúra üzemeltetéssel
• Projektalapú együttműködés fejlesztőkkel, üzleti elemzőkkel és ügyfelekkel

Strukturált workshopok és munkamegbeszélések vezetése végfelhasználókkal annak megértése érdekében, hogy a folyamatok a gyakorlatban hogyan működnek, beleértve a kivételeket, manuális kerülőmegoldásokat és a nem dokumentált döntési szabályokat is....

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Ipari épületautomatizálás nyomvonalkiépítése és elektromos bekötése
• PLC és DDC vezérelt elosztószekrények gyártása és beüzemelése
• Projekt helyszíni feladatok megoldása
• Séma rajzok olvasása és ellenőrzése a gépészeti rendszereken

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

• Be able to manage small teams to deliver analytic functions in support of strategic and business development projects.
• Analyse and assess macroeconomic, energy market and other industry-specific developments by synthetizing available empirical evidence, related literature, and economic theory.

• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Consultant and technical expert on the Salesforce platform providing support to stakeholders and users
• Collaboration with experts from other areas to leverage Salesforce technologies through integrations

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions deployed in products, especially major open-source projects such as Linux

Working on the design, development, and production of advanced digital solutions, ensuring seamless integration with existing infrastructure and adherence to enterprise architecture standards and robust delivery lifecycle processes. This includes leveraging expertise in various digital technologies...

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Support for development, quality assurance and product management
• Working closely with team members to ensure successful completion of projects and overall support with all roll-out services
• Enabling continuous improvement by supporting when needed
• Responsibility for vacation planning of direct reports

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• 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

• Verification process of IoT, Mobile and Infrastructure subsystems integrating the latest Arm IPs
• Design and verification activities to fulfill project requirements
• Collaboration with architecture, design, verification, performance analysis, implementation and various IP teams