
Senior/Lead Qt/QML Engineer with AI Productivity Focus
Spyrosoft
Status
Hexjobs Insights
Poszukujemy Senior/Lead Qt/QML Engineer z doświadczeniem w AI do projektowania interfejsów HMI. Wymagana znajomość C++, QML, oraz umiejętności AI.
Słowa kluczowe
Hi! We are a Spyrosoft Synergy team specializing in HMI development. We are looking for Qt/QML developers with AI Productivity Focus to work on designing and developing cutting-edge human-machine interfaces for in-vehicle infotainment systems, industry 4.0 solutions, and more.🦾 Your Role & AI FocusHMI Leadership: Designing and developing high-performance UIs using Qt/QML and C++.AI-Driven Workflow: Using AI agents and tools to conduct rapid technical research, automate repetitive coding tasks, and optimize the development lifecycle.Smart Design: Leveraging AI to assist in UI/UX prototyping and 'AI-first' problem-solving.Mentorship: Guiding the team on how to effectively (and safely) integrate AI tools into their daily work.Client Collaboration: Gathering requirements and translating them into modern, scalable architectures.👷♂️ Qualifications:5+ years of professional experience in software development.Strong C++ skills (including modern standards).Commercial experience in QML cross-platform development (min. 1 year).Proven track record in developing Qt-based GUI applications.AI Tooling Fluency: Practical experience in using AI agents, LLMs, and prompting for research, code generation, and debugging.Architectural Mindset: Deep understanding of design patterns and clean code.English C1: High proficiency in written and spoken English for seamless client communication.🦾 AI Tooling Fluency & Augmented EngineeringWe are looking for an engineer who treats AI as a strategic partner in the software development process. Your expertise should include:Agentic Workflows & Tool Chaining: Ability to design and build custom AI agent chains to automate complex engineering workflows, from multi-step technical research to generating validated architectural blueprints.Advanced Research & Technical Analysis: Proficiency in using LLMs for rapid analysis of complex Qt/C++ documentation and technical specifications.AI-Driven Code Generation: Hands-on experience in generating QML boilerplate, complex UI components, and C++ business logic using modern AI assistants (e.g., Cursor, GitHub Copilot).Intelligent Debugging & Refactoring: Leveraging AI to analyze logs, detect memory leaks, and suggest performance optimizations for high-stakes HMI interfaces.Strategic Prompt Engineering: Mastery of high-context prompting to elicit secure, production-ready code that aligns with established architectural patterns.
| Opublikowana | 4 dni temu |
| Wygasa | za 3 miesiące |
| Źródło |
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