Developer állások Budapesten (it programozás, fejlesztés)

• Working on the next generation vehicle's self-driving software
• Development of the internal data distribution and execution framework
• Integration of third-party frameworks
• Sensor data recording related tasks
• Development of human-machine interfaces and data visualization tools

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery to frontend and downstream consumers
• Own data storage and pipeline architecture including integration with streaming/event infrastructure

• UX scoping for customer-facing and internal digital products
• Cross-functional collaboration with product management, operations, and other teams to develop user journeys, flows, and service blueprints
• UX research employing a range of methods to gain insights into user behaviors, needs, and pain points

• ensure full operation of a global Salesforce platform with approximately 4,000 users in around 40 countries,
• advising business units (e.g. Sales, Marketing, and Customer Service) on the implementation of Salesforce functionalities to adapt to business requirements,

• Üzleti igények elemzése: új és/vagy meglévő alkalmazás kialakításához, módosításához kapcsolódó üzleti igények megértése, kapcsolódó dokumentáció véleményezése
• Munkafolyamatok tervezése: Üzleti folyamatok tervezése, fejlesztése, módosítása az üzleti céloknak megfelelően

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Crafting and analysing innovative scheduling features
• Performance and power measurement on real hardware platforms
• Development and testing on platforms from software models through FPGA systems to development boards and shipping products
• Upstreaming and maintenance of existing features

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery
• Own data storage and pipeline architecture including integration with streaming/event infrastructure
• Implement authentication and authorisation in line with cloud identity and access management

• 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

• BIM és CAD szoftverekben tervezést segítő eszközök fejlesztése C# és/vagy C++ nyelveken
• Standalone alkalmazások készítése
• C# esetén az Autodesk termékeivel (Revit, AutoCad, NavisWorks) való együttműködés
• C++ esetén Graphisoft Archicad-del való együttműködés

• Build-from-zero applications
• Bridge ML and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• A fejlesztői csapatban való aktív részvétel, fejlesztés támogatása
• A többi technikai vezetővel, PO-val való együttműködés
• Az üzleti igények jelenleg backend fókuszú szolgáltatásokba történő fordítása, fejlesztése
• A megoldások technikai specifikációjának, architektúrájának kidolgozásában való részvétel

• Design, develop, and maintain high-quality C++ software components and services.
• Build and integrate scalable APIs, database solutions, and data-processing pipelines.
• Collaborate with data scientists and operations research specialists to bring models into production and industrialize their code.

Conduct tasks related to applications development, establish, and implement new or revised applications systems and programs to meet specific business needs....

• Collaboration with cross-functional teams to design and implement components for systems and tooling platforms
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Collaboration with cross-functional teams to design and implement components for systems and tooling platforms
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions