Physical AI, Computer Vision Engineer

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Austin, TXNovi, MISan Jose, CA
Salary
$174,400–$261,600 / yr
Posted
66 days ago
Freshness
Confirmed live yesterday
Closes
Jul 7, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $199k
This role $218k
$137k most similar roles pay here $275k

This role pays more than 68% of similar roles. Most pay $162,000–$235,750 — the shaded band above. At the midpoint, this role pays about $218k versus about $199k 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 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

Most-posted roles

View all roles at Amd

At a glance

TL;DR · Physical AI, Computer Vision Engineer

As a Senior Physical AI Software Engineer on the Physical AI team, you will develop next-generation software for intelligent edge systems that integrate embedded computing, real-time processing, computer vision, and AI. You will design and optimize software across heterogeneous architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators to enable machines to perceive and respond to their environments with low-latency performance. Your daily work involves developing software for Linux and RTOS platforms, building high-performance image and sensor processing pipelines, and integrating AI inference using frameworks like PyTorch or TensorFlow. You will collaborate with multidisciplinary teams to solve complex engineering challenges in robotics, industrial automation, automotive, and aerospace. Key technical skills include experience with QNX, ROS 2, Vitis AI, and hardware/software co-design for perception systems involving cameras, radar, and lidar.

What you'll do

  • Design, develop, and maintain embedded software for AI-enabled edge computing platforms.
  • Develop software for Linux and Real-Time Operating Systems (RTOS) 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 pipelines for image, video, and sensor data.
  • Optimize software performance across heterogeneous architectures including CPUs, GPUs, FPGAs, and AI accelerators.
  • Perform platform bring-up, debugging, validation, and system integration.
  • Develop demonstrations and reference applications to showcase AMD embedded technologies.

What we're looking for

  • Experience developing software for Linux and Real-Time Operating Systems (RTOS) such as QNX or GreenHills.
  • Experience designing software for low-latency, safety-critical, or time-sensitive embedded applications.
  • Experience with AI inference deployment using frameworks like ONNX, PyTorch, or TensorFlow.
  • Experience with heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators.
  • Experience with hardware/software co-design and FPGA-based acceleration methodologies.
  • Experience with ROS 2 and robotics software architectures.
  • Knowledge of perception systems including cameras, radar, lidar, and sensor fusion technologies.
  • Experience with low-level platform software such as Linux kernel, BSP, or device drivers.

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