Edge AI & Embedded Vision Engineer

Socket.dev; San Jose (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

AMD is seeking an experienced Embedded Software Engineer to develop next-generation Physical AI platforms built on AMD Adaptive SoCs and Ryzen AI Embedded processors. You will work at the intersection of embedded software, computer vision, graphics, and edge AI to bring intelligent robotics and automation to life.

Collaborate with architecture, silicon, AI, and product teams to create reference platforms and demos for real-world deployments, shaping the future of Physical AI across industries

Qualifications

• Experience with embedded software development for complex systems.
• Strong proficiency in C/C++ on Linux
• Experience with vision and camera pipelines (MIPI CSI, ISP tuning) is preferred.

Responsibilities

• Develop embedded C/C++ software and Linux platform support for Physical AI platforms.
• Build and optimize computer vision and camera processing pipelines.
• Develop graphics and display software including GPU-accelerated rendering.
• Deploy and optimize edge AI inference models and runtimes.
• Lead platform bring-up and hardware/software integration.

Skills

Embedded C/C++

Python

AI model workflows

Education

Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Robotics Engineering

Master's degree desirable

Tools

Yocto

BSP development

Device drivers

RTOS

OpenCV

GStreamer

DisplayPort / MIPI CSI

Vulkan / OpenGL

PyTorch / TensorFlow / ONNX

Git / CI/CD

ROS 2

Verilog / VHDL

Vivado / Vitis

JTAG / oscilloscopes

Job description

AMD is seeking an experienced Embedded Software Engineer to develop next-generation Physical AI platforms built on AMD Adaptive SoCs and Ryzen AI Embedded processors. You will work at the intersection of embedded software, computer vision, graphics, and edge AI to bring intelligent robotics and automation to life.

Collaborate with architecture, silicon, AI, and product teams to create reference platforms and demos for real-world deployments, shaping the future of Physical AI across industries