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4 дня назад

Senior Edge AI Applications Engineer (Embedded ML)

84 000 - 105 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Edge AI Applications Engineer (Embedded ML): Building physical sensor prototypes and deploying low-power machine learning models onto Renesas microcontrollers with an accent on embedded firmware, DSP, and TinyML. Focus on fabricating lab rigs, acquiring high-frequency time-series data, quantizing models for kilobyte-scale memory constraints, and developing low-level MCU drivers.

Location: Columbia, Maryland, United States; 100% onsite. Remote work is not available.

Annual pay range: $84,000–$105,000, plus eligibility for bonus opportunities and commission pay.

Company

hirify.global is a global semiconductor solution provider developing MCU, SoC, analog, power, automotive, industrial, infrastructure, and IoT products.

What you will do

  • Fabricate physical prototype rigs, custom sensor arrays, and 3D-printed enclosures.
  • Instrument motors, HVAC systems, industrial machines, and automotive targets to capture high-frequency time-series data.
  • Clean and preprocess accelerometer, acoustic, electrical, and current/voltage datasets.
  • Train, quantize, compress, and deploy TinyML models on ARM Cortex-M and hirify.global RA, RX, and RL78 microcontrollers.
  • Implement DSP feature extraction, including FFT, spectrograms, windowing, filtering, and time-domain features.
  • Develop C/C++ embedded firmware, RTOS drivers, peripheral interfaces, and DMA-based data flows while leading junior lab engineers.

Requirements

  • B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Applied Physics, or a related technical field.
  • 3+ years of hands-on experience with embedded systems, hardware prototyping, and deploying edge ML or DSP algorithms on physical hardware.
  • Experience with assembly, breadboarding, soldering, 3D printing, schematic reading, JTAG/SWD, oscilloscopes, and logic analyzers.
  • Fluency in time-series and audio signal processing, including spectral analysis, filtering, and feature extraction using Python or MATLAB.
  • Hands-on C/C++ MCU programming, RTOS task management, DMA queues, and low-level peripheral drivers using SPI, I2C, UART, or CAN.
  • Practical experience with TinyML frameworks such as TensorFlow Lite Micro, CMSIS-NN, or Edge Impulse, including model quantization and compression.

Culture & Benefits

  • Regular employment with a full-time staff position.
  • Medical, dental, vision, health savings account, flexible spending accounts, life insurance, AD&D, and pet insurance.
  • Company-paid life insurance, AD&D, long-term disability, and short-term medical benefits for eligible employees.
  • Paid sick time, paid holidays, accrued vacation, and pre-tax commuter benefits.
  • Work within a collaborative global semiconductor organization focused on automotive, industrial, infrastructure, and IoT technologies.

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