Principal Software Engineer

Impinj•Seattle, WA

1d•$185,000 - $277,600•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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