4 дня назад
Senior Edge AI Applications Engineer (Embedded ML)
84 000 - 105 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 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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