Job Description

Head 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.

Key Responsibilities

• Lab Ownership & Technical Leadership: Manage physical lab facilities, equipment, part procurement, and project scheduling for customer PoCs, internal R&D, and cross-BU hardware integrations.
• Physical Prototyping & Fabrication: Lead hands-on assembly of prototype rigs, sensor arrays, 3D-printed mounts, and microelectronic setups to capture real-world physical data.
• High-Frequency Sensor Data Engineering: Instrument physical systems to capture, clean, and preprocess high-frequency time-series datasets (acoustic, vibration, electrical, motor current).
• DSP & TinyML Deployment: Design DSP feature extraction pipelines (FFTs, spectral analysis, filtering) and deploy optimized, quantized TinyML models onto microcontrollers (ARM Cortex-M, Renesas RA/RX/RL78) using TFLite Micro, CMSIS-NN, or eIQ.
• Customer & Cross-BU Collaboration: Work directly with customers and internal product teams to ingest raw hardware telemetry, debug edge firmware issues, and demonstrate live hardware solutions.
• Team Mentorship: Lead, mentor, and guide junior lab engineers in firmware debugging, signal processing, and physical prototype fabrication.

Why Join Renesas?

• No SCIF / No Clearance: Enjoy complex signal processing and hardware challenges without defense contractor bureaucracy or classified workspace restrictions.
• Commercial Product Impact: What you build in our lab gets integrated into Renesas silicon and deployed into millions of industrial, automotive, and consumer devices globally.
• Startup Autonomy + Global Backing: Small-team environment (under 50 people in Columbia) backed by one of the world's premier semiconductor manufacturers.

Qualifications

• Education: 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).
• Career Experience: 7-12+ years of hands-on experience in embedded software, physical hardware prototyping, digital signal processing, and real-time edge computing.
• Hardware & Lab Skills: Proven expertise in physical system fabrication, 3D printing, electrical assembly, PCB bring-up, and low-level debugging with oscilloscopes, logic analyzers, and JTAG/SWD.
• Embedded Firmware: Strong C/C++ programming for constrained microcontrollers, bare-metal or RTOS (FreeRTOS, Zephyr), DMA buffer management, and low-level drivers (SPI, I2C, UART, CAN).
• Signal Processing & On-Device ML: Deep understanding of digital signal processing (DSP) for time-series/audio data and practical experience deploying quantized ML models directly onto microcontrollers.

Additional Information

The expected annual pay range for this position is $139,500 - $185,000. This position is also eligible for bonus opportunities and commission pay. Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate.

Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources

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