Edge Hardware/Firmware Engineer

Apera; California (MO); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Apera in California is seeking 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 hands-on role spans schematic to flight hardware in a small, AI-native team that moves fast.

Qualifications

• 4-6+ years of mixed-signal hardware and firmware bring-up experience.
• Strong background in high-speed digital, low-noise analog, and power conversion.
• Hands-on high-speed image sensor interface experience (non-negotiable).
• Production CUDA/TensorRT experience on Jetson-class SoMs.

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.

Skills

Mixed-signal hardware

Firmware bring-up

High-speed digital

Low-noise analog

Power conversion

CUDA / TensorRT

Jetson-class SoMs

Rust / Python

GPU/SoM debugging

Tools

Altium

KiCad

Scope

Logic Analyzer

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

• 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

Requirements

• 4-6+ years of mixed-signal hardware and firmware bring-up experience
• Strong background in high-speed digital, low-noise analog, and power conversion
• Hands-on high-speed image sensor interface experience (non-negotiable)
• Production CUDA/TensorRT experience on Jetson-class SoMs
• Proficiency with schematic/PCB tools (Altium, KiCad, etc.) and bench tools (scope, logic analyzer)
• Comfort with Rust/Python for firmware and tooling
• AI-native workflow (daily use of agentic coding tools)

This is an on-site role in California with relocation support available.