Real-Time Wearables Platform Engineer (SF Bay Area)

MaxIT Consulting - Max Corporate Group

San Francisco (CA)

Presencial

USD 120.000 - 180.000

Jornada completa

14 días+

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Descripción de la vacante

MaxIT Consulting - Max Corporate Group seeks a Full-Stack Engineer to build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

You will work across the full product stack, from real-time video and data pipelines to backend services and the user-facing application, balancing latency, connectivity, and hardware integration to deliver scalable solutions.

Formación

  • Approximately 2 to 5 years of professional software engineering experience.
  • Demonstrated full-stack engineering capability across frontend and backend systems.
  • Hands-on experience with React and/or React Native.
  • Experience shipping scalable products used by real customers.
  • Exposure to real-time, low-latency, streaming, edge, wearable, or hardware-connected systems.
  • Strong product ownership and ability to work effectively in an early-stage environment.

Responsabilidades

  • Build real-time video and data pipelines connecting wearable devices with AI systems.
  • Design systems that operate under tight latency requirements and unreliable connectivity.
  • Develop backend APIs, application services, and data infrastructure.
  • Build customer-facing web and mobile experiences.
  • Work with React and React Native, including integrations with native device capabilities.
  • Own features and systems end to end from architecture through production deployment.

Conocimientos

Full-stack engineering
React
React Native
Real-time systems
Edge computing

Descripción del empleo

MaxIT Consulting - Max Corporate Group seeks a Full-Stack Engineer to build the product and infrastructure layer around an advanced wearable AI platform used in real-world industrial environments.

You will work across the full product stack, from real-time video and data pipelines to backend services and the user-facing application, balancing latency, connectivity, and hardware integration to deliver scalable solutions.

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