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The Senior Physical Design Engineer at Tenstorrent will work on high-performance CPU and AI/ML architecture, leading physical design tasks such as synthesis and timing closure. The role involves collaboration with front-end teams and managing the design cycle from flow development to sign-off, utilizing various design tools and techniques to improve design parameters.

The Strategic Operations Manager at Tenstorrent is responsible for executing strategic initiatives and optimizing operational processes to drive growth. This role involves collaboration with cross-functional teams, project management, and developing strategic partnerships, all while aligning operational processes with the company's goals.

The Staff Systems Software Engineer at Tenstorrent is responsible for designing and developing system software components for RISC-V systems. Responsibilities include collaborating on software requirements, optimizing workloads, maintaining software stacks, and troubleshooting issues, all while engaging with the broader open-source community.

The Staff PCB Design Engineer will be responsible for designing and laying out complex, multi-layer PCBs, creating schematics, maintaining documentation, collaborating with mechanical engineers, troubleshooting design issues, and providing training to team members.

The Staff Field Application Engineer will be the primary technical contact for customers, providing guidance on AI/ML software solutions, collaborating on bespoke requirements, deploying scalable applications on cloud platforms, and driving innovation within cross-functional teams. The role also involves delivering presentations to showcase AI capabilities and staying current with trends in AI technology.

Design and develop the Fabric and Memory subsystems for high-performance CPU architectures. Work closely with design, test, and validation teams. Evaluate and integrate third-party IP components, optimize power and performance, debug RTL/logic issues, and enhance design infrastructure.

The Sr Staff Engineer will deliver custom IP for an AI processor, focusing on subsystem configuration, integration testing, encryption, synthesis, and documentation. They will utilize skills in digital design and various programming languages to ensure high-quality internal and customer IP delivery.