CPU Architect, Load-Store at Tenstorrent

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Semiconductors, High-Performance ComputingIndustries

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

Responsibilities

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

Skills

Key technologies and capabilities for this role

RISC-VCPU ArchitectureLoad-Store UnitMicroarchitectureOut-of-Order ExecutionPPA OptimizationPerformance AnalysisSimulationsData PrefetchersMemory Subsystem

Questions & Answers

Common questions about this position

What is the compensation range for this role?

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets, depending on experience and skills.

Is this position remote?

This role is remote, based out of the United States.

What skills and experience are required for this CPU Architect role?

Required qualifications include a Bachelor’s or Master’s in Computer Engineering, Electrical Engineering, or Computer Science, strong understanding of computer architecture fundamentals like memory hierarchy and data prefetching, familiarity with performance modeling tools such as Gem5, basic knowledge of HDLs like Verilog and system programming in C/C++, plus problem-solving, communication, and hands-on performance profiling experience.

What is the company culture like at Tenstorrent?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems, with a diverse team passionate about AI and building high-performance RISC-V CPUs.

What should I highlight in my application for this role?

Highlight your experience with CPU architecture especially load-store units, performance modeling tools like Gem5, knowledge of RISC-V, memory systems, and HDLs, as the company welcomes candidates at various experience levels and assesses them during interviews.

Tenstorrent

Builds advanced computers for AI applications

About Tenstorrent

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, leveraging technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent focuses on integrating neural network compilers into their systems, enhancing the efficiency of AI computations. The company's goal is to advance the capabilities of AI computing, serving clients in the AI and computing sectors while generating revenue through the sale of their specialized systems and services.

Toronto, CanadaHeadquarters

2016Year Founded

$1,297.7MTotal Funding

SERIES_DCompany Stage

Hardware, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Hybrid Work Options

Risks

Competition from established AI hardware companies like Nvidia could impact market share.

Reliance on open-source software may delay product development timelines.

Geopolitical tensions in South Korea and Japan could disrupt Tenstorrent's supply chains.

Differentiation

Tenstorrent leverages RISC-V technology for flexible, open-source AI hardware solutions.

The company partners with BOS Semiconductors to develop next-gen automotive AI chips.

Tenstorrent's global presence includes offices in key tech hubs like Silicon Valley and Tokyo.

Upsides

RISC-V architecture's growth aligns with Tenstorrent's open-source AI software focus.

Automotive AI chip market growth offers lucrative opportunities for Tenstorrent's BOS partnership.

Increasing demand for HPC systems could expand Tenstorrent's reach beyond tech industries.

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