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6 дней назад

Principal Software Engineer (RAIN RFID)

185 000 - 277 600$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Principal Software Engineer (RAIN RFID): Building and evolving a RAIN RFID data integration platform spanning embedded readers, high-throughput stream-processing pipelines, distributed systems, and cloud services with an accent on real-time data processing, algorithmic insight extraction, and scalable platform architecture. Focus on integrating machine learning inference frameworks, scaling deployments from a single reader to global fleets, and solving complex reliability and performance challenges across the full stack.

Location: Seattle, Washington, United States; hybrid workplace with onsite work at the North Beacon Hill lab up to 3 days per week

Salary: $185,000–$277,600 base pay annually across the US

Company

hirify.global develops RAIN RFID and Internet of Things technologies that connect everyday items to the Internet across retail, healthcare, logistics, automotive, aviation, and food applications.

What you will do

  • Design, build, and evolve the RAIN RFID data integration platform from embedded readers through cloud services.
  • Architect high-throughput stream-processing pipelines for large volumes of real-time RFID data.
  • Develop algorithms that extract actionable insights from raw RFID data.
  • Build distributed systems that scale from a single reader to global deployments.
  • Integrate machine learning models and inference frameworks with platform software in partnership with ML teams.
  • Define technical vision, mentor engineers, promote best practices, and deliver reliable, well-tested software across release cycles.

Requirements

  • 15+ years of software development experience with a BS in ECE, CS, or a related field, or equivalent experience.
  • Proficiency in embedded development with C, C++, and/or Rust.
  • Proficiency in Python, C#/.NET, or Go.
  • Experience with embedded Linux platforms such as Yocto or Zephyr.
  • Experience implementing machine learning algorithms and using inference frameworks such as LiteRT, CUDA, PyTorch, or TensorFlow.
  • Experience designing scalable distributed systems, working with cross-disciplinary teams, and building modular software with strong test coverage.

Nice to have

  • Experience with RFID, IoT, Bluetooth, or other embedded end-user technologies.
  • Familiarity with NATS, MQTT, Kafka, AMQP, or ZeroMQ.

Culture & Benefits

  • Hybrid work options and support for remote work.
  • Healthcare benefits and a 401(k) plan with company match for US-based employees.
  • Potential eligibility for merit increases, annual bonuses, stock, or other additional rewards depending on the role and performance.
  • Open paid time off and an emphasis on work-life balance.
  • Collaborative, inclusive environment focused on openness, innovation, and teamwork.

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