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Sign Up to ReadHead Our Edge AI Prototyping Lab. Build Physical Rigs. Deploy TinyML on Silicon.
About the Role & The Reality AI Lab
The Renesas AIoT Center of Excellence in Columbia, MD (formerly Reality AI) is seeking a hands-on Senior Staff Edge AI Applications Engineer to lead our physical Edge AI Applications Lab.
In this role, you will head our physical lab facility, direct R&D and proof-of-concept (PoC) hardware builds, manage project scheduling, and mentor junior engineers. You will operate at the exact intersection of small-scale physical fabrication, digital signal processing (DSP), C/C++ embedded firmware, and microcontroller-level TinyML deployment.
You will lead the end-to-end execution of non-visual sensing solutions - instrumenting physical hardware setups (industrial motors, automotive systems, consumer devices), collecting high-frequency time-series sensor data, building custom DSP pipelines, and optimizing tiny machine learning models to run on Renesas silicon.
Are you a Senior Embedded Engineer or Applied Physicist who thrives in a physical lab environment building custom sensor rigs, soldering prototype boards, and squeezing machine learning models onto microcontrollers?
ATTENTION APPLICANTS: READ BEFORE APPLYING
This is a physical lab leadership and embedded hardware role.
DO NOT APPLY if your background is strictly in Cloud AI, Data Science, Generative AI, LLMs, LangChain, or Web Backend APIs.
DO APPLY if you have 7+ years of experience building physical prototype rigs, writing embedded C/C++, running FFTs on raw accelerometer/acoustic data, debugging SPI/I2C signals with an oscilloscope, and running TinyML on bare-metal silicon.
From the office
Renesas Electronics
Office in United States
Also hiring in Austin, United States, Munich, Germany, Wrocław, Poland and 16 more places
4 of their 101 open roles are remote
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