This role focuses on researching, designing, and developing security architectures for semiconductor and cryptographic systems, with a specific emphasis on privacy-preserving machine learning using homomorphic encryption for secure AI operations on GPUs. It involves side-channel analysis, strengthening TEE and SEV systems, and designing secure computation frameworks for ML accelerators, contributing to FIPS certification readiness.

This role focuses on developing and designing software for semiconductor operations, specifically involving machine learning algorithms, back-end code generation, and chip compilers within the MLIR framework. The engineer will research, design, develop, and test operating systems-level software, compilers, and network distribution software, applying principles of computer science and engineering.

Software Development Engineer at AMD (Xilinx) to research, design, develop, and test operating systems-level software, compilers, and network distribution software for semiconductor operations. The role involves developing software and tools for design, infrastructure, and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, and cloud-based tools. Requires experience with Python/Bash, machine learning, TensorFlow, Git, JavaScript, object-oriented design, and software debugging on macOS, Linux, or Unix.

This role involves researching, designing, developing, and testing operating systems-level software, compilers, and network distribution software for semiconductor operations. The engineer will develop software and tools for design, infrastructure, and technology platforms, including OS, compilers, and cloud-based tools. They will also develop, debug, and tune performance of new graphics hardware and determine hardware compatibility. The role requires experience with Linux/Unix/Windows OS, statistical analysis, data engineering, data science, Large Language Models, and React.

Software Development Engineer to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. This role involves applying principles of computer science, engineering, and mathematical analysis, and developing software and tools in support of design, infrastructure, and technology platforms. The position requires experience in C/C++, CMake, machine learning, Linux/Windows system programming, software architecture, computer graphics, digital signal and image processing, AI, soft computing, NLP, database management, operating systems, data structures, algorithms, and distributed computing.

Senior Test Automation Engineer to build and own testing infrastructure for ML training data generation systems, focusing on distributed job orchestration, compute platform reliability, CI/CD, and validation of rendering output data.

This role focuses on managing external suppliers for IC packaging, ensuring quality, reliability, and performance. A key aspect involves leveraging AI and AI agents for data analytics to detect quality excursions, enhance package reliability, and optimize product cost, yield, and performance. The role requires collaboration with suppliers and driving manufacturing process quality.

This role focuses on building and verifying ML-based software, specifically improving training efficiency and creating test cases for ML compilers. The engineer will work with C++, Python, and GPU/CPU communication, contributing to the AMD AI platform.

Seeking an early-career software engineer to contribute to Electronic Design Automation (EDA) software for FPGA implementation (Vivado). The role involves developing and improving features within Vivado, with exposure to emerging AI/ML applications in EDA workflows. Responsibilities include implementing and enhancing features, debugging issues, supporting data-driven activities, and assisting with ML/LLM experiments for EDA tasks like timing optimization, power analysis, or resource allocation.

AMD is seeking a Data Platform Engineer to design, develop, and deploy intelligent analytics platforms for CPU engineering progress tracking. The role involves building end-to-end solutions including data pipelines, databases, and dashboards, leveraging AI and modern data technologies to enhance analytics capabilities. Experience applying AI/ML in practical applications is preferred.

Software Development Engineer to research, design, develop, and/or test operating systems-level software, compilers, and/or network distribution software for semiconductor operations. This role involves applying principles of computer science, engineering, and mathematical analysis to design, develop, and debug software programs for enhancements and new products. The engineer will develop software and tools in support of design, infrastructure, and technology platforms, including operating systems, compilers, routers, networks, utilities, databases, cloud-based and Internet related tools. They will also determine hardware compatibility and/or influence hardware design, working on problems of complex scope where analysis of situations or data requires a review of a variety of factors. The role requires experience in C/C++, CMake, multiple programming languages, Machine Learning, Linux/Windows system-level programming, device drivers, software architecture, computer graphics, Digital Signal and Image processing, Artificial Intelligence, soft computing, Natural Language Processing, Applied Natural Language Processing, database management systems, operating systems, data structures, analysis of algorithms, and distributed computing.

This role focuses on program management within AMD's Global Operations and Quality (GOQ) team, involving data analysis, reporting, and automation to improve operational efficiency. It requires experience with various programming languages, data science tools, and AI/ML concepts like NLP, Deep Learning, Multimodal systems, Machine Learning, Computer Vision, and Mathematical Statistics.