Software engineer állások, munkák Budapesten

• Development of low-level software to integrate new Arm architecture improvements spanning Linux, Android, and related user-space components
• Development and optimisation with a focus on performance, energy conservation, and protection

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Design, develop, and optimize high-performance applications
• Analyze and improve application performance, memory consumption, and CPU utilization
• Identify performance bottlenecks and implement effective optimizations
• Work on resource and memory management challenges

Performing tasks related to the position....

• Design and develop cross-platform desktop applications for Linux and Windows using C/C++ and C#/.NET
• Own the software architecture end-to-end, establishing patterns, module boundaries, and coding standards that other engineers on the team will build on

• Development and maintenance of Unreal Engine applications using modern C++ and Blueprints
• Building new functionality and enhancing existing graphics systems
• Collaboration with engineers, artists, product managers and QA teams

• 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

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

• Implementation of safety mechanisms and diagnostics for automotive ADAS project
• Development of automotive software for safety-critical embedded systems
• Implementation of safety mechanisms and diagnostics based on SoC safety manuals, safety concepts, or hardware safety architecture documentation

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• 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 tool outputs to ensure quality and safety

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• Lead testing strategy and execution across complex microservices and frontend/backend architectures
• Design, develop, and maintain robust test automation frameworks integrating into CI/CD pipelines

• 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, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• Drive product features end-to-end with sleek, responsive UI improvements and seamless backend integration
• Leverage agentic coding assistants and AI workflows to accelerate delivery and automate engineering tasks

• 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