High-Load Dataflow & Workflow Engineering: Design, organize, and standardize robust internal dataflows, defining how massive datasets smoothly migrate between the computational backend and downstream platform workflows.
Core Optimization: Architect high-performance, UI-agnostic core structures and algorithms to optimize data throughput, memory footprints, and heavy computation cycles.
Asynchronous Multi-Threading: Implement advanced multi-threading and parallel processing patterns to isolate heavy background database operations from the application's interactive layers.
2. Agentic AI Integration
Workflow Composition: Compose and orchestrate our existing system functionalities and APIs into a unified, next-generation AI-native workflow.
LLM Integration: Expose internal application states, core structures, and tool operations via clean programmatic interfaces accessible to LLMs.
Dynamic UI Syncing: Ensure that autonomous actions, modifications, and state changes executed by the AI agent are instantly reflected and dynamically updated within the Qt user interface.
End-to-End Automation: Help shape a system where AI acts as an autonomous active user—capable of running verification checks, interpreting results, and programmatically driving the software.
3. GUI Development (Qt Framework)
Widgets Implementation: Drive the hands-on development and implementation of the Quantus Insight graphical user interface using C++ and the Qt Widgets framework.
Big Data Presentation: Build and customize high-scale Qt Model/View components (trees, tables, forms) optimized for lazy loading, data paging, and minimal memory overhead.
Linux Environment Profiling: Deeply profile, debug (using GDB/Valgrind), and tune UI performance under extreme memory and CPU utilization in Linux desktop environments.
Job Qualifications & Experience
Education: Bachelor’s, Master’s, or PhD in Computer Science, Software Engineering, or a related technical field.
Experience: 4+ years of professional software development experience (or 5+ years with an advanced degree) focused on complex desktop application UIs.
Required Skills
Expert C++: Deep proficiency in modern C++ (C++ 17 or newer) including STL
High-Performance Computing: Proven track record in multi-threading, parallel programming, and data structure optimization.
Linux Expertise: Advanced development, debugging (GDB, Valgrind), and performance profiling in Linux environments.
Software Engineering: Strong grasp of object-oriented design, design patterns, and the full Software Development Life Cycle.
Scripting: Proficient in Python for automation and tool integration.
Additional Skills/Preferences
QT Framework: Experience with the Qt framework for GUI development is a big plus.
EDA Experience: Knowledge of parasitic extraction, layout connectivity, or physical verification.
AI/LLM Application (Experienced or Aspiring): Hands-on experience building agentic workflows or working with LLM APIs (e.g., OpenAI, Anthropic) is highly desirable; however, a strong personal interest, hobbyist experimentation, and a willingness to learn how to apply AI concepts to core software engineering workflows will work perfectly.
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