Software developer állás, munka

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Új publikus és zárt felhasználású mobilalkalmazások tervezése és
• fejlesztése, ezek integrálása a meglévő rendszerekbe
• Meglévő mobilalkalmazások módosítása, továbbfejlesztése és
• optimalizálása
• Rugalmas munkavégzés csapatban és egyénileg egyaránt

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

• Conduct end‑to‑end software and service should‑cost analyses by identifying, assessing, and modelling key cost drivers.
• Define and size software technical specifications, assessing requirement quality and maturity.

• In this role, you will design and develop both frontend and backend components using Java, TypeScript/JavaScript, and modern frameworks such as React or Angular.
• You will work closely with cross‑functional teams to deliver high‑quality, user‑centric software solutions that create real value.

In this role, you will design and develop backend components that form the backbone of our digital products, using Java and Spring Boot as your primary toolkit. You will implement and maintain well‑structured RESTful APIs, following best practices in API design to ensure reliability, clarity, and...

• 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

• Implementation of safety mechanisms and diagnostics for automotive ADAS project
• Low-level driver development
• Register-level development
• Interrupt handling
• Memory and peripheral diagnostics
• Watchdog management
• Clock, reset, and power supervision
• Implementation of startup/runtime diagnostics

• 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

• Design, develop, and maintain high-performance software components in C++
• Design and extend execution and modeling frameworks for complex computing workloads
• Drive software architecture decisions, implementation, and integration activities