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Responsible for leading post-silicon validation for AI SoCs, ensuring reliability and quality of new silicon. Collaborates across teams to resolve issues and improve validation processes.

Responsible for designing, implementing, testing, and documenting OS Kernel and Device Driver software, collaborating within an agile team environment.

Develop and optimize AI models for specialized hardware, collaborating with research and software teams to enhance performance across large-scale systems.

Develop and maintain tools for software infrastructure, deploy and manage Kubernetes and Cloud Infrastructure to support AI software and hardware.

Develop tools and services for building, testing, and integrating Machine Learning Software. Collaborate with QA and development teams, focusing on best practices and troubleshooting integration issues.

The Director of Silicon Logical Design leads the Logical Design team, overseeing micro-architecture and RTL design. Responsibilities include setting strategic direction, enhancing methodologies, and ensuring high-quality silicon delivery.

The role focuses on validating and benchmarking ML software stacks, ensuring performance and reliability across various AI workloads. Responsibilities include analyzing benchmarks, maintaining testing pipelines, and collaborating with software teams on feature testing.

The role involves testing, validating, and benchmarking ML software systems, focusing on performance and reliability, while collaborating with software and hardware teams.

The Staff System Software Engineer in Test will lead testing initiatives, enhance firmware quality, and collaborate with cross-functional teams to advance AI technology.

The role involves designing, developing, and maintaining test infrastructure for a complex machine learning software stack, focusing on automation and software quality. The engineer will mentor others and ensure high standards in software engineering practices.