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The Design for Test Engineer will implement DFT features from RTL to tapeout for high-performance AI/ML architectures, focusing on cost reduction, debugging, and yield learning while collaborating with experienced engineers on various ASIC domains.

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 Office Manager will oversee daily operations, manage budgets, and enhance workspace efficiency at the Austin office. Key responsibilities include ensuring compliance with office policies, leading internal events, supporting HR during onboarding, and addressing employee requests.

The Staff SOC Performance Architect at Tenstorrent will focus on performance modeling and analysis of chiplet based Automotive SoCs, collaborating with hardware engineers, software developers, and system architects.

The CPU Performance Exploration Architect is responsible for defining and developing next-generation CPU architectures, focusing on performance, scalability, and power efficiency. Key tasks include SoC architecture development, performance modeling, optimizing power and thermal management, and preparing design specifications. Collaboration with hardware, software, and design automation teams is essential to meet application requirements and drive technological innovation.

As a High-Performance Computing (HPC) Architect, you will design and implement architectures for high-performance computing systems, analyze performance, collaborate with hardware and software teams, define system requirements, evaluate technologies, and mentor junior staff.

As a Staff Field Application Engineer, you'll support customers building Deep Learning models on our hardware. Responsibilities include technical engagement from pre-sales to post-sales, collaborating with internal teams, and delivering technical presentations. Strong communication skills and experience in AI/ML frameworks are essential for success in this role.