CPU Architect, Memory Subsystem & Interconnects at Tenstorrent

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, 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 interconnect topologies
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
Knowledge of DDR, HBM, and other emerging memory technologies
Experience with interconnect protocols such as AXI, PCIe, or CXL

Responsibilities

Assist in the design and optimization of memory subsystems, including cache hierarchies, coherence protocols, and memory controllers
Contribute to the development of high-performance interconnect architectures, including on-chip networks and chip-to-chip interfaces
Perform simulations, modeling, and performance analysis of memory and interconnect components
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, memory, and interconnects
Support documentation and presentation of architectural decisions, trade-offs, and findings

Skills

RISC-V

CPU Architecture

Cache Hierarchies

Coherence Protocols

Memory Controllers

Interconnects

On-Chip Networks

Chip-to-Chip Interfaces

Performance Analysis

Simulations

Modeling

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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