Hiring: Senior Staff Edge Applications Engineer (Hardware & Embedded Lab Lead) Company: Renesas Electronics Location: Columbia, MD Job Posted Time: 2026-09-10 10:55:47 Target Skills & Keywords : Agile, Assembly, C, C++, Embedded Systems, Firmware, LLM, LangChain, Machine Learning, PCB, R, RTOS About the job Experience: •7–12+ years of hands-on experience in embedded software, physical hardware prototyping, digital signal processing, and real-time edge computing. Required Skills: •Head Our Edge AI Prototyping Lab. Build Physical Rigs. Deploy TinyML on Silicon. •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. •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. •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. •If your background is strictly in Cloud AI, Data Science, Generative AI, LLMs, LangChain, or Web Backend APIs. Qualifications: •M.S. or Ph.D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related technical discipline. (BSEE with extensive, demonstrable lab leadership experience will also be evaluated). Compensation: •$139,500 - $185,000 / year •Competitive benefits and rewards package •This position is also eligible for bonus opportunities and commission pay Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!