Tenstorrent Inc.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🔧 Hardware
💳 Fintech
Artificial Intelligence • Hardware • Fintech
Tenstorrent is a cutting-edge technology company based in Santa Clara, CA, specializing in AI semiconductors and computing solutions. They have developed advanced products like the TT-QuietBox, a liquid-cooled workstation designed for AI model development, and the Tenstorrent Galaxy, a high-performance AI compute server. Recently, Tenstorrent secured over $693M in Series D funding to enhance its AI chip capabilities and challenge market leaders in the AI data center sector.
CPU Architect, Load-Store
🕒 March 18
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Tenstorrent Inc.
51 - 200 employees
Founded 2016
🤖 Artificial Intelligence
🔧 Hardware
💳 Fintech
Artificial Intelligence • Hardware • Fintech
Tenstorrent is a cutting-edge technology company based in Santa Clara, CA, specializing in AI semiconductors and computing solutions. They have developed advanced products like the TT-QuietBox, a liquid-cooled workstation designed for AI model development, and the Tenstorrent Galaxy, a high-performance AI compute server. Recently, Tenstorrent secured over $693M in Series D funding to enhance its AI chip capabilities and challenge market leaders in the AI data center sector.
📋 Description
• Drive the architecture, micro-architecture, design and optimization of the CPU load-store unit for Tenstorrent’s high-performance out-of-order RISCV CPUs • Propose new implementations to optimize load-store PPA • Perform simulations, modeling, and performance analysis of advanced CPU features and state-of-the-art data prefetchers • Collaborate with hardware and software teams to optimize memory access patterns and system performance. • Stay up to date with industry trends and emerging technologies in CPU architecture and the memory subsystem • Support documentation and presentation of architectural decisions, trade-offs, and findings.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science (or equivalent experience). • Strong understanding of computer architecture fundamentals, including memory hierarchy, cache coherence, and data prefetching • Familiarity with performance modeling and simulation tools (e.g., Gem5, SimpleScalar, or similar). • Basic knowledge of hardware description languages (e.g., Verilog, VHDL) and system-level programming (C, C++). • Problem-solving skills and ability to analyze complex system interactions. • Excellent communication and teamwork abilities. • Hands-on experience with performance profiling tools and benchmarking methodologies. • Exposure to parallel processing architectures and multi-core systems.
🏖️ Benefits
• Highly competitive compensation package and benefits • Equal opportunity employer
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