Physical AI, Computer Vision Engineer

Amd

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TXNovi, MISan Jose, CA
Salary
$174,400–$261,600 / yr
Posted
112 days ago
Freshness
Confirmed live today
Closes
Jul 7, 2027
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $207k
This role $218k
$137k $275k
below market most similar roles pay here above market

This role pays more than 65% of similar roles. Most pay $168,200–$246,150 — the blue band above. At the midpoint, this role pays about $218k versus about $207k for comparable roles.

Based on 240 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 496 open roles on FindRole.

Listed pay typically runs $172,000–$258,000 across 496 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Physical AI, Computer Vision Engineer

Role Posting Log in to save

JOB TITLE: Physical AI, Computer Vision Engineer The Senior Physical AI Software Engineer joins the Physical AI team to develop software for intelligent edge systems. This role involves designing and optimizing software that enables machines to perceive and interact with the physical world through deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms, integrating AI inference, computer vision, and sensor processing across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators. Key technologies include QNX, GreenHills, Vitis AI, ONNX, PyTorch, TensorFlow, ROS 2, OpenGL, Vulkan, and Wayland. You will solve complex engineering challenges in perception, control, and autonomous decision-making for robotics, industrial automation, automotive, aerospace, and machine vision applications, focusing on high-performance image, video, and sensor processing pipelines.

Skills

Embedded Linux RTOS Computer Vision AI Inference Heterogeneous Computing FPGA PyTorch TensorFlow ONNX ROS 2 Vitis™ AI OpenGL Vulkan Wayland Sensor Fusion Linux Kernel BSP

What you'll do

  • Design, develop, and maintain embedded software for AI-enabled edge computing platforms.
  • Develop software for Linux and RTOS platforms to ensure deterministic, low-latency execution.
  • Implement real-time software for perception, sensor processing, control, and autonomous decision-making.
  • Integrate computer vision, image processing, and AI inference applications for real-world deployment.
  • Build and optimize high-performance image, video, and sensor processing pipelines.
  • Optimize software performance across CPUs, GPUs, FPGAs, and dedicated AI accelerators.
  • Support platform bring-up, debugging, validation, and system integration.
  • Develop demonstrations and reference applications to showcase AMD embedded technologies.

What we're looking for

  • Design, develop, and maintain embedded software for AI-enabled edge computing platforms.
  • Develop software for Linux and Real-Time Operating Systems (RTOS) supporting deterministic, low-latency execution.
  • Design and implement real-time software for perception, sensor processing, control, and autonomous decision-making.
  • Develop and integrate computer vision, image processing, and AI inference applications for real-world deployment.
  • Optimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators.
  • Support platform bring-up, debugging, validation, and system integration.
  • Experience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems (preferred).
  • Experience with AMD Vitis AI or equivalent AI deployment frameworks (preferred).

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