CPU Architect, Load-Store

Job not on LinkedIn

🕒 March 18

🏄 California – Remote

🏄 California – Remote

💵 $100k - $500k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏛️ Architect

👻 Ghost score 35%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tenstorrent Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏭 Manufacturing

💼 Consulting

🤖 Artificial Intelligence

Manufacturing • Consulting • Artificial Intelligence

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