STN Incorporated
STN Incorporated
STN Incorporated oferă servicii IT gestionate și infrastructură cloud pentru întreprinderi și echipe care dezvoltă software esențial pentru activitatea companiilor, sisteme de inteligență artificială și robotică. Serviciile sale includ clouduri private cu procesoare CPU, infrastructura de inteligență artificială GPU One, rețele și stocare securizate, precum și operațiuni cloud continue, susținute de asistență umană 24/7 și acorduri privind nivelul serviciilor pentru disponibilitate ridicată. Compania gestionează și operațiuni de securitate cibernetică și răspuns la incidente, conformitate și managementul riscurilor, copii de rezervă și recuperare, precum și achiziții tehnologice și gestionarea ciclului de viață al tehnologiei. STN deservește companii SaaS, dezvoltatori de soluții AI și de modele, firme de robotică și organizații reglementate, inclusiv furnizori de servicii medicale, cu infrastructură concepută pentru pregătirea auditurilor și pentru cadre precum SOC 2 Type II și HIPAA.

Senior Data Platform Engineer, Horizon AI

Lead development of fleet knowledge models, decision capture, and telemetry access for Horizon AI’s autonomous data center operations. Build on production fleet data to support operational decisions.

Descriere

  • Design and build a fleet knowledge model for assets, topology, configuration, and current state.
  • Develop decision capture pipelines and instrument operator workflows to collect labelled human decisions.
  • Own the data access layer that abstracts telemetry sources.
  • Set telemetry requirements with data-owning teams, covering signals, granularity, retention, and raw event access.
  • Plan for scale, including vector index behaviour and analytics separation as the schema grows.
  • Report to the Chief AI Officer.

Cerințe

  • Apply strong data modelling judgment, especially when making physical or infrastructure domains queryable.
  • Have experience handling time-series and event data at scale, including cardinality and retention trade-offs.
  • Bring deep PostgreSQL expertise, including vector search, and be comfortable with a large, evolving schema.
  • Understand infrastructure concepts such as nodes, GPUs, fabric, schedulers, and power.
  • Familiarity with DCIM tools is a strong advantage.
  • Prioritize shipping a usable model early over designing a complete model upfront.
  • GPU fleet or HPC experience, DCGM, Slurm, and entity resolution across inconsistent sources are advantageous.

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