Embedded Software Engineer - Physical AI

AMD
San Jose
Workplace: HybridFull timeFunction: Software EngineeringEducation: bachelorsSkills: ["Analytical","Debugging","Problem-solving","Communication"]

Develop embedded C/C++ and Embedded Linux (BSP/Yocto) software for AMD Adaptive SoC and Ryzen AI Embedded-based Physical AI platforms. Build and optimize computer vision pipelines (sensor drivers, MIPI CSI integration, ISP tuning) and graphics/display bring-up for intelligent edge applications. Deploy and optimize edge AI inference runtimes across heterogeneous compute (NPU/GPU), and lead platform bring-up, hardware/software integration, driver development, debugging, and system validation.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
AMD
AMD
2 days ago

Embedded Software Engineer - Physical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Develop embedded C/C++ and Embedded Linux (BSP/Yocto) software for AMD Adaptive SoC and Ryzen AI Embedded-based Physical AI platforms. Build and optimize computer vision pipelines (sensor drivers, MIPI CSI integration, ISP tuning) and graphics/display bring-up for intelligent edge applications. Deploy and optimize edge AI inference runtimes across heterogeneous compute (NPU/GPU), and lead platform bring-up, hardware/software integration, driver development, debugging, and system validation.
Location: San Jose
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Develop embedded C/C++ software and Embedded Linux platform support (BSP/Yocto) for Physical AI platforms on AMD Adaptive SoCs and Ryzen AI Embedded processors.
  • •Build and optimize computer vision and camera processing pipelines, including sensor drivers, MIPI CSI integration, ISP tuning, and image/video processing frameworks.
  • •Develop graphics and display software, including display pipeline bring-up, GPU-accelerated rendering, and visualization for intelligent edge applications.
  • •Deploy and optimize edge AI inference models and runtimes using available NPU/GPU and heterogeneous compute resources.
  • •Lead platform bring-up and system validation: hardware/software integration, driver development, low-level debugging, troubleshooting, and root-cause analysis.

Key Requirements

  • •Develop embedded C/C++ software and Embedded Linux platform support (BSP/Yocto) for Physical AI platforms.
  • •Build and optimize computer vision and camera pipelines (sensor drivers, MIPI CSI integration, ISP tuning, image/video processing).
  • •Deploy and optimize edge AI inference models and runtimes using heterogeneous compute (NPU/GPU).
  • •Lead platform bring-up and hardware/software integration, including driver development, low-level debugging, and system validation.
  • •Experience with robotics/industrial automation/edge AI applications (e.g., ROS 2, sensor fusion, machine vision) and strong technical problem-solving.
Education:Bachelor's in Electrical Engineering, Computer Engineering, Computer Science, Robotics Engineering, or a related technical discipline
Skills:AnalyticalDebuggingProblem-solvingCommunication
Languages:En-us
Tech Stack:C/C++LinuxBSPYoctoPythonComputer visionCamera processingMIPI CSIISP tuningImage processingVideo processingV4L2OpenCVGStreamerGraphicsDisplay pipelineGPU-accelerated renderingDisplayPortMIPI DSIEGL

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn