Senior Physical AI Software Engineer — Edge and Vision

AMD

San Jose (CA)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Job summary

AMD is seeking a Senior Physical AI Software Engineer in San Jose, CA to develop next-generation software for intelligent edge systems that blend embedded computing, real-time processing, computer vision, and AI. You will design, develop, and optimize software spanning embedded Linux and RTOS platforms, integrating AI inference, computer vision, and sensor processing across AMD's embedded portfolio.

Collaboration with AI, FPGA, silicon, and systems engineers will be essential to deliver scalable

Qualifications

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.

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.