Industrial IoT Engineer

Bright Vision Technologies•Artesia, CA
•$75,000 - $100,000•Remote

About The Position

Bright Vision Technologies is seeking an experienced Industrial IoT Engineer to design and build connected, data-driven industrial systems spanning the factory floor and enterprise cloud platforms. The role involves architecting end-to-end Industrial IoT solutions, including edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards. The engineer will collaborate with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions. They will contribute to code and design reviews and mentor more junior engineers. The position calls for strong engineering discipline, clear communication, and a record of delivering reliable production work. This is a full-time, direct W-2 position with Bright Vision Technologies, performed 100% remotely in the United States. The stated annual salary range is $75,000–$100,000. New H-1B visa petitions cannot be sponsored; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.
  • Five or more years of IIoT or industrial software engineering experience.
  • Strong programming skills in Python, C++, or Go.
  • Hands-on experience with industrial protocols such as OPC UA, Modbus, MQTT, and Sparkplug B.
  • Experience with at least one major cloud IoT platform: AWS, Azure, or GCP.
  • Hands-on experience with edge runtimes such as Greengrass or IoT Edge.
  • Solid understanding of OT/IT integration patterns.
  • Experience with streaming and real-time analytics platforms.
  • Familiarity with industrial cybersecurity standards.
  • Excellent troubleshooting, communication, and documentation skills.

Nice To Haves

  • Experience with digital-twin platforms.
  • Hands-on experience with predictive maintenance ML models.
  • Exposure to time-series databases such as InfluxDB or TimescaleDB.
  • Familiarity with Unified Namespace (UNS) patterns.
  • Industrial certifications such as ISA or IEC 62443.

Responsibilities

  • Design and build connected, data-driven industrial systems spanning factory-floor equipment and enterprise cloud platforms.
  • Architect end-to-end IIoT solutions covering edge data acquisition, secure connectivity, cloud ingestion, real-time analytics, and operational dashboards.
  • Work with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into engineered solutions.
  • Participate in code reviews and design reviews.
  • Mentor more junior engineers.
  • Deliver production-ready work and help maintain strong engineering discipline.
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