Founding Systems Engineer – Edge AI for Wearables

AI Talent Now; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

AI Talent Now is assembling a hardware-software team in San Francisco to build wearable AI copilots for industrial technicians. The role centers on moving sensor data from camera hardware to on‑device models with ultra-low latency, including edge inference when networks lag.

You will own end-to-end systems—from camera input to model output—working closely with the hardware team. Prior startup exposure and hands-on device experience are highly valued.

Qualifications

• Hands-on device software development for real-time sensor data.
• Experience end-to-end hardware/software integration.
• Familiarity with edge inference and low-latency networks.

Responsibilities

• Own the path from camera to the model and back.
• Develop on-device and edge code with low-latency transport.
• Ship software moving sensor data from device to model in real time.
• Collaborate with hardware and firmware teams for wearables.

Skills

C/C++ on device

Rust on device

RTOS / embedded Linux

End-to-end ownership

Python + AWS/GCP

Education

Top CS/Eng program

Tools

WebRTC

GStreamer

TensorRT

Job description

AI Talent Now is assembling a hardware-software team in San Francisco to build wearable AI copilots for industrial technicians. The role centers on moving sensor data from camera hardware to on‑device models with ultra-low latency, including edge inference when networks lag.

You will own end-to-end systems—from camera input to model output—working closely with the hardware team. Prior startup exposure and hands-on device experience are highly valued.