DSP & Embedded Firmware Engineer

Rajant Corp•Malvern, PA

1d•Onsite

About The Position

Rajant Health is seeking a DSP & Embedded Firmware Engineer to develop real-time signal processing algorithms and embedded firmware for next-generation wearable and IoT products. This hands-on role bridges low-power sensor data collection and efficient on-device processing, from algorithm prototyping in Python or MATLAB through implementation in C/C++ on resource-constrained MCUs and SoCs.

Requirements

B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field.
Approximately 3+ years of hands-on embedded C/C++ firmware development for low-power IoT devices, wearables, or similar embedded products.
Strong DSP fundamentals including FIR/IIR filters, FFTs, sampling, noise filtering, and fixed-point arithmetic tradeoffs.
Proficiency with Python (NumPy/SciPy) or MATLAB for sensor-data modeling, algorithm development, and verification.
Experience with ARM Cortex-M architecture, RTOS environments such as FreeRTOS or Zephyr, and bare-metal programming.
Practical experience with SPI, I2C, I2S, ADC, DMA, JTAG, oscilloscopes, logic analyzers, and hardware/firmware debugging.
Strong analytical, troubleshooting, documentation, and cross-functional communication skills.

Nice To Haves

Hands-on Bluetooth Low Energy (BLE) data streaming and profiles.
Experience with PPG, ECG, IMUs, or other wearable/biopotential sensors.
Experience with ultra-low-power MCUs such as Nordic nRF52/nRF53, STM32WB/L, or Ambiq Micro.
Exposure to embedded machine learning at the edge, including TinyML or CMSIS-NN.

Responsibilities

Design, simulate, implement low-power DSP and sensor-fusion algorithms for PPG, ECG, IMU/motion, environmental sensing, audio/voice trigger, or noise suppression.
Translate Python/MATLAB algorithm models into compact, real-time C/C++ firmware for ARM Cortex-M, Nordic nRF, STM32, Ambiq, or similar platforms.
Optimize execution, memory, and battery performance using fixed-point math, CMSIS-DSP, duty cycling, DMA, and efficient RAM/Flash utilization.
Configure, integrate, and debug sensor buses and peripherals including SPI, I2C, I2S, ADCs/AFEs, DMA, and related interfaces.
Integrate processed sensor data with low-power wireless links such as Bluetooth LE, Zigbee, or Wi-Fi in collaboration with system teams.
Use JTAG, oscilloscopes, logic analyzers, logs, and systematic testing to debug signal pipelines on prototype hardware and wearable flex-PCBs.
Document algorithms, firmware architecture, validation results, performance tradeoffs, and technical findings.