Principal Software Engineer at Impinj in Seattle, WA

  • Company: Impinj
  • Location: Seattle, Washington, United States
  • Salary: $185K – $278K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-30

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Job description

Impinj delivers the Physical Intelligence that connects the physical world to the AI-powered digital world, fueling automated workflows and improving consumer experiences. From retail merchandise and groceries to packages and shipping pallets, Impinj products and solutions identify and track tens of billions of everyday items, providing real-time operational insights about every item enterprises make, move and sell. We are, quite literally, the eyes and ears of smart enterprise systems. Come help us build technology and solutions that enable businesses to visualize everything, waste nothing and act instantly. Team Overview: We're seeking a Principal Software Engineer to join our growing Platform Engineering team, building the next-generation RAIN RFID platform for a diverse set of applications, from healthcare to logistics to retail. In this role, you will help build our RAIN RFID data integration stack for our reader products, tackling challenges such as efficient stream processing of large volumes of data, complex algorithms to extract insight from raw RFID data, and a software stack that scales from a single reader to a global deployment. Principal engineers at Impinj are software authorities who work as part of a team, taking on our hardest challenges and delivering innovative, effective solutions while collaborating with engineers across the stack — from tagged items to the cloud. What You Will Do: Design, build, and evolve the software stack behind our RAIN RFID data integration platform, from embedded readers through cloud services Architect high-throughput stream-processing pipelines that handle large volumes of RFID data in real time Develop algorithms that extract actionable insight from raw RFID data for customers across healthcare, logistics, and retail Build distributed systems that scale seamlessly from a single reader to a global deployment of readers Partner with Machine Learning teams to integrate ML models and inference frameworks into the platform Collaborate closely with engineers across the full stack, from tagged items to the cloud, to deliver integrated, end-to-end solutions Define technical vision and drive implementation of sophisticated, scalable, and reliable platform architecture Mentor engineers, advocate for best practices in software development, and contribute to an inclusive team culture Deliver high-quality, well-tested code across multiple release cycles, setting the technical standard for the team Participate in our hybrid workplace, working onsite at our Lab in North Beacon Hill up to 3 days per week What You Will Bring: BS in ECE, CS, or a related field, with 15+ years of software development experience , or an equivalent combination of education and experience Proficiency in embedded development using C, C++, and/or Rust Proficiency in higher-level languages such as Python, C#/.NET, or Go Proficiency with embedded Linux platforms such as Yocto, Zephyr, or similar systems Proficiency implementing Machine Learning algorithms and leveraging ML inference frameworks such as LiteRT, CUDA, PyTorch, and TensorFlow Experience interfacing with Machine Learning teams and cross-disciplinary engineering teams Experience designing, implementing, and deploying scalable, reliable distributed systems Experience with RFID, IoT, Bluetooth, or other embedded end-user technologies Familiarity with network technologies such as NATS, MQTT, Kafka, AMQP, or ZeroMQ Proven ability to build modular designs with strong test coverage Compensation & Benefits: The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work. The typical base pay range for this role across the US is $185,000 - $277,600 . Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all ne

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