Software Engineer - Autonomy and Vision Systems

Advanced Micro Devices, Inc•Austin, TX

1d•Remote

About The Position

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. Our Physical AI team develops technologies that enable machines to perceive, understand, and interact with the physical world. By combining embedded systems, real-time software, computer vision, AI, adaptive computing, and high-performance edge platforms, we create intelligent solutions for robotics, industrial automation, automotive, machine vision, and emerging Physical AI applications. We are seeking a Software Engineer to join our Physical AI team, developing next-generation intelligent systems for robotics, automotive, industrial, and edge AI applications. This role focuses on the development and integration of embedded software, computer vision applications, and real-time processing pipelines that enable machines to perceive and interact with the physical world. Solutions are deployed across a range of computing architectures, including embedded x86 platforms, adaptive SoCs, and AI-accelerated edge devices, requiring a strong understanding of software optimization, system integration, and real-time system design. You will work across Linux and Real-Time Operating System (RTOS) environments, developing software that delivers deterministic performance for perception, control, sensor processing, and AI-enabled workloads. Working closely with software, hardware, FPGA, AI, and systems engineering teams, you will contribute to the development of robust and scalable solutions targeting AMD embedded computing platforms, including AMD Ryzen™ Embedded processors and AMD Versal™ AI Edge Gen 2 devices. This role offers an exciting opportunity to combine embedded software engineering, computer vision, RTOS development, and edge AI technologies to help build the next generation of intelligent machines.

Requirements

Strong software development experience using C/C++.
Experience developing software within Linux environments.
Experience working with Real-Time Operating Systems (RTOS).
Understanding of RTOS concepts including task scheduling, inter-process communication, synchronization mechanisms, interrupt handling, and deterministic system behavior.
Understanding of embedded systems architecture and software development.
Experience developing software for embedded Linux platforms based on x86 and/or ARM architectures.
Experience developing or integrating computer vision, image processing, or video processing applications.
Familiarity with OpenCV or equivalent computer vision frameworks.
Understanding of system-level performance optimization on modern multicore processors.
Experience debugging and optimizing complex software systems.
Strong problem-solving and analytical skills.
Excellent written and verbal communication skills.
Ability to work effectively within multidisciplinary engineering teams.

Nice To Haves

Experience with RTOS platforms such as QNX, GreenHills, or similar real-time operating systems.
Experience designing software for low-latency, safety-critical, or time-sensitive embedded applications.
Experience with AMD Vitis™ AI or equivalent AI deployment frameworks.
Experience with AMD Ryzen™ Embedded, EPYC™ Embedded, Versal™ AI Edge, Zynq UltraScale+, Kria™, or similar edge computing platforms.
Understanding of FPGA-based acceleration and hardware/software co-design methodologies.
Experience with AI inference deployment using ONNX, PyTorch, TensorFlow, or related frameworks.
Experience with ROS 2 and robotics software architectures.
Understanding of perception systems including cameras, radar, lidar, and sensor fusion technologies.
Familiarity with graphics and visualization technologies such as OpenGL, Vulkan, or Wayland.
Experience with Linux kernel, BSP, device driver, or low-level platform software development.
Understanding of heterogeneous computing architectures combining CPUs, GPUs, FPGAs, and dedicated AI accelerators.
Experience with performance profiling, optimization, and benchmarking on multicore systems.
Knowledge of networking, middleware, and distributed edge computing systems.
Experience within robotics, automotive, industrial automation, aerospace, machine vision, or related embedded systems domains.

Responsibilities

Design, develop, and maintain software for embedded and edge computing platforms.
Develop software for Linux and Real-Time Operating System (RTOS) environments.
Design and implement real-time software components where deterministic performance and low latency are critical.
Develop and integrate computer vision and perception applications for real-world deployment.
Build and optimize image processing, video processing, and AI inference pipelines.
Develop and optimize software for embedded x86 compute platforms and heterogeneous edge computing systems.
Support deployment and performance tuning across CPU, GPU, FPGA, and AI accelerator architectures.
Collaborate with hardware, FPGA, AI, and systems teams to deliver integrated solutions.
Support platform bring-up, debugging, validation, and performance optimization activities.
Analyze and optimize software for latency, throughput, memory utilization, and power efficiency.
Contribute to technical documentation, software architecture, and engineering best practices.
Support the development of demonstrations, reference applications, and customer-facing solutions.