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Edge Hardware / Firmware Engineer (Mixed-Signal, GPU SoM)

apera • United States
Relocation
This Job is No Longer Active This position is no longer accepting applications

Seeking a versatile Edge Hardware/Firmware Engineer to design and optimize GPU SoM-based hardware and firmware for imaging and sensor systems. Responsibilities include mixed-signal board design, high-speed sensor interface implementation, and low-latency inference development. Requires 4-6+ years of experience in mixed-signal hardware/firmware, high-speed interfaces, and CUDA/TensorRT on Jetson-class SoMs.

Key Highlights
Design and bring up mixed-signal boards centered on GPU SoMs (NVIDIA Jetson/Orin)
Implement end-to-end high-speed sensor interfaces with zero-copy DMA
Develop CUDA/TensorRT pipelines and low-latency firmware/drivers
Key Responsibilities
Design and bring up mixed-signal boards centered on GPU SoMs (NVIDIA Jetson/Orin or equivalent) high-speed image sensor interfaces, low-noise analog, power architecture, and system IO
Implement end-to-end high-speed sensor interfaces (MIPI CSI-2, LVDS, SerDes, etc.) with zero-copy DMA into GPU memory
Develop CUDA/TensorRT pipelines and low-latency firmware/drivers (Rust & Python preferred)
Execute schematic capture, PCB layout, bench bring-up, debug, and qualification
Optimize power delivery, signal integrity, and timing for low-jitter, real-time performance
Bake in DFM/DFT and manufacturability from day one
Technical Skills Required
Mixed-Signal Hardware Design Firmware Development GPU SoM
Benefits & Perks
Relocation support
Nice to Have
Defense/aerospace qualification (MIL-STD-461/810)
Carrier board design
Heterogeneous compute experience

Job Description

We are partnering with a defense tech company building next-generation products and we are looking for a versatile Edge Hardware / Firmware Engineer to own the mixed-signal boards and compute path for our imaging and sensor system.

You will design, bring up, and optimize GPU SoM-based hardware and firmware that ingests high-speed sensor data and runs low-latency inference in a demanding environment. This is a hands-on role spanning schematic to flight hardware in a small, AI-native team that moves fast.

Key Responsibilities:

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