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Responsible for the micro-architecture and design of high-speed IO interfaces and high-performance PCIe Gen5 modules. Involves RTL design, verification, and participation in silicon validation, ensuring compatibility with industry standards and efficiency.

The Senior Staff Software Engineer for Kernels will develop and optimize software kernels for AI hardware. Responsibilities include mapping algorithms to hardware architectures, collaborating with teams on compiler infrastructure, and enhancing the software toolchain for AI compute engines, while possessing strong background in computational graph mapping and software development.

The Senior Principal RTL Digital Design Engineer will lead the micro-architecture and design of high-speed IO interfaces, ensuring high performance and efficient RTL design. Responsibilities include executing design verification, logic synthesis, and participating in silicon bring-up and validation.

As a Principal Machine Learning Research Scientist, you will research and develop efficient deep learning algorithms for d-Matrix's AI compute engine, collaborate with internal and external teams, optimize customer workloads, and contribute to research publications.

You will be responsible for developing, enhancing, and maintaining the software stack for AI hardware, including building optimized implementations of large language models, developing ML Op kernels, and working with experts in compiler and hardware architecture.

As the MLIR Software Engineering Technical Lead, you'll design and implement a compiler framework for NLP models on multi-chiplet architectures. Responsibilities include overseeing compiler development, collaborating with multiple teams on project milestones, and ensuring efficient task scheduling and data movement.

The ML Compiler Software Engineering Technical Lead will design and implement an MLIR-based compiler framework tailored for large-scale NLP models. Responsibilities include overseeing compiler development, managing task scheduling on processors, collaborating with various teams, and ensuring the overall efficiency of AI solutions. Technical leadership and team management experience are also essential.