Physical AI, Machine Learning Engineer (Vitis and ROCm)

WHAT YOU DO AT AMD CHANGES EVERYTHING 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. THE TEAMOur Physical AI team is building the intelligent software that enables machines to perceive, understand, and interact with the physical world. By combining embedded computing, real-time software, computer vision, AI, adaptive SoCs, and high-performance edge platforms, we develop next-generation solutions powering robotics, industrial automation, autonomous systems, machine vision, automotive, and emerging AI-driven applications.Working at the intersection of AI, embedded systems, and heterogeneous computing, our team transforms AMD technologies into intelligent, real-world solutions that accelerate the future of Physical AI.THE ROLEWe are seeking a Senior Physical AI Software Engineer to develop next-generation software for intelligent edge systems that combine embedded computing, real-time processing, computer vision, and AI.In this role, you will design, develop, and optimize software that enables machines to perceive, analyze, and respond to their environments with deterministic, low-latency performance. You will build software spanning embedded Linux and RTOS platforms while integrating AI inference, computer vision, sensor processing, and real-time control across AMD's embedded computing portfolio.Working closely with software, AI, FPGA, silicon, and systems engineers, you will help deliver scalable Physical AI solutions for robotics, industrial automation, automotive, machine vision, aerospace, and other intelligent edge applications.This position provides an opportunity to work across the complete software stack—from low-level platform software through AI-enabled applications—leveraging heterogeneous computing architectures including CPUs, GPUs, FPGAs, and dedicated AI accelerators.THE PERSONYou are passionate about building software that bridges embedded systems, AI, and real-world intelligent machines. You thrive solving complex engineering challenges involving real-time processing, perception, and system optimization.You enjoy working across multidisciplinary teams and are comfortable developing software that spans embedded Linux, RTOS, computer vision, AI inference, and heterogeneous computing architectures. You are driven by performance, scalability, and delivering robust software that powers next-generation intelligent systems.KEY RESPONSIBILITIES: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.Build and optimize high-performance image, video, and sensor processing pipelines.Optimize software across heterogeneous computing architectures including CPUs, GPUs, FPGAs, and AI accelerators.Collaborate with AI, FPGA, hardware, systems, and platform teams to deliver integrated Physical AI solutions.Support platform bring-up, debugging, validation, and system integration.Analyze and optimize latency, throughput, memory utilization, power efficiency, and overall system performance.Contribute to software architecture, technical documentation, coding standards, and engineering best practices.Develop demonstrations, reference applications, and customer enablement solutions showcasing AMD embedded technologies.PREFERRED EXPERIENCE:Experience with AMD Vitis AI or equivalent AI deployment frameworks.Experience with AMD Versal AI Edge, Zynq UltraScale+, Kria, or other adaptive computing platforms.Understanding of FPGA acceleration and hardware/software co-design methodologies.Experience developing AI applications using ONNX, PyTorch, TensorFlow, or similar frameworks.Familiarity with quantization, model optimization, pruning, and edge deployment techniques.Experience with ROS 2 and robotics software architectures.Understanding of perception systems including camera, radar, lidar, and sensor fusion pipelines.Experience with graphics, visualization, or accelerated rendering technologies.Familiarity with OpenGL, Vulkan, Wayland, or embedded graphics frameworks.Experience with Linux kernel, device drivers, or low-level platform software development.Experience with distributed AI, edge-to-cloud architectures, or heterogeneous computing systems.Experience with robotics, automotive, aerospace, industrial automation, or other intelligent edge domains.LOCATION:San Jose, CANovi, MIAustin, TXThis role is not eligible for visa sponsorship.#LI-BW2#LI-HYBRIDBenefits offered are described: AMD benefits at a glance.AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.This posting is for an existing vacancy.