Senior Edge AI Engineer – TinyML & Embedded Lab

Renesas Electronics

Columbia (MD)

On-site

USD 84,000 - 105,000

Full time

14 days+
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Job summary

Renesas Electronics seeks a Senior Edge Applications Engineer to build and deploy edge AI in a hands-on hardware lab. You will prototype sensor rigs, deploy TinyML on microcontrollers, and drive real-world DSP workloads using Renesas silicon.

You will operate in the Reality AI Lab in Columbia, MD, writing embedded C/C++ and coordinating with cross-functional teams to deliver edge AI solutions that integrate hardware and software.

Qualifications

  • Hands-on embedded firmware development in C/C++.
  • Experience with DSP and real-time processing on microcontrollers.
  • Familiarity with TinyML deployment on bare-metal or RTOS platforms.

Responsibilities

  • Physical Prototyping & Fabrication: assemble prototype rigs, sensor arrays, and lab setups to capture real-world data.
  • High-Frequency Sensor Data Engineering: instrument systems to capture, clean, and preprocess time-series data.
  • DSP & TinyML Deployment: build DSP pipelines and deploy quantized TinyML models on microcontrollers.
  • Embedded Firmware Development: write real-time C/C++ firmware with DMA and low-level peripherals.
  • Customer & Cross-BU Collaboration: work with customers and internal teams to integrate hardware telemetry.
  • Technical Leadership & Mentorship: guide junior engineers and document best practices.

Skills

Embedded firmware
C/C++ programming
DSP
TinyML
Lab prototyping

Education

B.S. or Master’s in Electrical Engineering, Computer Engineering, Applied Physics

Tools

SPI
I2C
Oscilloscope
JTAG/SWD
ARM Cortex-M
Renesas RA/RX/RL78

Job description

Renesas Electronics seeks a Senior Edge Applications Engineer to build and deploy edge AI in a hands-on hardware lab. You will prototype sensor rigs, deploy TinyML on microcontrollers, and drive real-world DSP workloads using Renesas silicon.

You will operate in the Reality AI Lab in Columbia, MD, writing embedded C/C++ and coordinating with cross-functional teams to deliver edge AI solutions that integrate hardware and software.

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