Python developer állás, munka

• Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories

• 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

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...

• Dashboard development for sustainability data visualization
• Data integration from various sources for comprehensive reports
• Client reporting collaboration with sustainability team
• Data analysis to identify trends and support sustainability initiatives
• Quality assurance of data in dashboards and reports

• 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

• 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

• Üzleti igények összegyűjtése és elemzése
• IT rendszerek és szoftverek elemzése
• Fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése
• Üzleti célok és IT megoldások közötti összhang biztosítása
• Szoftverfejlesztési életciklusban való aktív részvétel

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Kutatás-fejlesztési projektek végigkövetése a tervezéstől az átadásig
• Beágyazott vezérlők programozása C nyelven
• Prototípus berendezések beüzemelése
• Prototípus berendezések tesztelése
• Belsős és partner cégek villamos-, programtervező-, gépész-, és mechatronikai mérnökeivel való együttműködés

• Building and optimizing inference pipelines for large-scale model serving
• Working with frameworks like PyTorch, TensorRT, and vLLM to deploy models efficiently
• Implementing and optimizing ML models using techniques such as quantization, kernel fusion, and efficient batching

• Support transmission system operators and distribution system operators in planning the power grid of the future
• Work directly with clients as part of international consulting project teams
• Perform power system analyses including power flow, voltage, short-circuit, N-1, redispatch

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Kollaboratív robot (Universal Robots) vezérlőalgoritmusok fejlesztése és karbantartása Python nyelven
• Algoritmusok tesztelése, élesztése és beállítása a helyszínen
• Admittance/impedance alapú erőszabályozás implementálása és finomhangolása

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Development and fine-tuning of AI models including LLMs, Agentic AI, and Generative AI systems
• Building and deploying robust AI applications and services on cloud platforms
• Design and implementation of efficient AI pipelines from data preparation to model deployment and monitoring

• Designing and developing proof of concepts (PoCs)
• Demonstrating solutions to internal customers on a tight schedule
• Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes
• Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Design and implement backend services and APIs
• Develop new features together with Product Owner and Architects
• Optimize performance, scalability and security
• Write unit and integration tests
• Review merge requests and ensure coding standards
• Troubleshoot incidents and perform root cause analysis