Levél állások Budapesten (it programozás, fejlesztés)

Setting the technical direction for AI-enabled platform Architecting secure, scalable, serverless systems on AWS Defining patterns and governance practices for multiple teams Guiding AI value addition across the stack Mentoring senior engineers Leading org-wide design decisions Writing code with...

Architecting complex AWS infrastructures and zero-day compliant landing zones Understanding customers’ business problems and providing technology consulting to identify the best-fit solution Owning the end-to-end solution as a key decision-maker and driving the delivery team Describing...

Building and optimizing inference pipelines for large-scale model serving Working with frameworks like PyTorch, TensorRT, and vLLM for efficient model deployment Implementing and optimizing ML models using quantization, kernel fusion, and efficient batching Optimizing and implementing core ML...

Leading teams to develop System IP like Interconnect, memory management, DMA, and media Guiding engineering projects from start to finish Ensuring products are delivered on time Ensuring products meet quality standards Ensuring products conform to specifications Effective communication Planning...

Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud Providing mentoring and technical support to junior and medium teammates Acting as a trusted advisor to clients Developing highly scalable services realizing AI/ML functionalities (e.g. NLP, ML...

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

Line management, coaching, and career development for a team of Full-Stack Engineers Performance management and professional growth fostering Providing hands-on technical leadership as Solutions Architect and technical lead on cloud-native application development projects Owning the technical...

Learning existing system architecture, codebase, tools, and development practices Validating existing technical documentation and flagging any gaps or outdated content Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems Maintaining coding standards,...

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 Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Technical Implementation & Quality Control...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...