Vista Applied Solutions Group Inc
Website:
vasginc.com
Job details:
Job Summary:
- We are building the next-generation smart facilities platform — one that goes far beyond traditional BMS. At its core is a live digital twin of every building we deploy in a real-time, physics-informed virtual replica of its mechanical, electrical, and environmental systems.
- This role is for a hands-on Product Lead who can both architect and lead. You will own the full stack from edge device to cloud analytics, define product direction, and mentor a growing engineering team. If you have deep expertise at the intersection of IoT, controls, and scalable software — and are excited by the idea of buildings that think — this role is for you.
Responsibilities:
- End-to-end platform architecture:
- Edge → Gateway → Cloud / On-Prem → Analytics → Control feedback loop
- Digital Twin Development:
- Build and maintain real-time building digital twins using physics-based and data-driven models
- Model HVAC topology, asset hierarchies, and operational states in a live twin environment
- Integrate BIM data, sensor streams, and historical operations data into the twin
- Protocol & Systems Integration:
- BACnet, Modbus, OPC-UA, MQTT — connecting real building systems to the platform
- Real-time data ingestion pipelines and time-series analytics engines
- Control strategy development: HVAC optimization, demand response, fault detection
- Product thinking: translate facility-level problems into software abstractions and roadmap
- Mentor and lead a team of 5–6 engineers across backend, integration, and analytics
Education and Experience:
- 5+ years in IoT / Industrial IoT / Building Automation platforms
- Deep understanding of HVAC systems: chillers, AHUs, VAVs, VRF, cooling towers
- Hands-on experience with BACnet, Modbus, OPC-UA, MQTT
Digital Twin experience:
- Building or industrial digital twin platforms (e.g., Azure Digital Twins, AVEVA, Siemens Xcelerator, custom)
- Working knowledge of twin modelling concepts: ontologies, asset graphs, state synchronization
- Strong backend engineering in Python — the primary language for data pipelines, analytics, and AI integration
AI & Machine Learning Integration:
- Experience embedding AI/ML models into production systems: predictive maintenance, anomaly detection, load forecasting
- Familiarity with LLM APIs (OpenAI, Anthropic) or AI orchestration frameworks (LangChain, LlamaIndex) for building intelligent features
Experience with time-series databases: InfluxDB, TimescaleDB, or similar
- Proven ability to lead engineering teams and drive product decisions
Click on Apply to know more.