Edge AI Robotics Engineer, Real-World Perception

LuminX; San Francisco (CA); On-site; USD 120,000 - 200,000; Full time

Job summary

LuminX in San Francisco is developing edge AI devices for real-time pallet tracking and anomaly detection in warehouses. As a Robotics Systems Engineer, you will own the software and perception stack, from camera capture to model inference, and collaborate with hardware teams to deploy in customer sites.

You will work across Linux-based edge platforms, optimize vision pipelines, and build tools for provisioning, testing, and remote management.

Qualifications

• 3+ years of experience in robotics software, computer vision, embedded systems, or a similar hands-on engineering role.
• Strong software engineering skills in Python, C++, or both, with experience shipping production code that runs on real devices.
• Hands-on experience building or deploying computer vision or perception systems, such as object detection, tracking, OCR, or multi-camera setups.
• Experience working with embedded Linux or edge computing platforms such as NVIDIA Jetson, Rockchip, or Raspberry Pi.
• Comfort working in Linux and debugging processes, logs, system services, networking, and connected devices.

Responsibilities

• Develop and maintain software running on edge devices.
• Build and optimize real-time perception pipelines—camera capture, video decoding, inference, and post-processing for detection, OCR, and tracking.
• Work with the ML team to deploy, optimize, and evaluate vision models on edge devices, and feed field data back into model improvements.
• Integrate and troubleshoot cameras, sensors, networking equipment, storage, and other peripherals.
• Build device services for camera capture, health monitoring, telemetry, configuration, and remote management.
• Diagnose issues across Linux, device software, networking, power, and hardware integration.
• Create tools for device provisioning, testing, deployment, logging, and over-the-air updates.
• Support the bring-up and validation of new edge hardware.
• Work with the hardware team to improve device reliability, installation, and serviceability.
• Travel to customer sites to support installations and diagnose issues.
• Turn lessons from field deployments into better software, tooling, and system design.

Skills

Python

C++

Robotics software

Computer vision

Embedded systems

Tools

OpenCV

GStreamer

Docker

CUDA

Job description

LuminX in San Francisco is developing edge AI devices for real-time pallet tracking and anomaly detection in warehouses. As a Robotics Systems Engineer, you will own the software and perception stack, from camera capture to model inference, and collaborate with hardware teams to deploy in customer sites.

You will work across Linux-based edge platforms, optimize vision pipelines, and build tools for provisioning, testing, and remote management.