Heterogeneous SoC Simulation Architect 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

AI, Semiconductors, High Performance ComputingIndustries

Requirements

15+ years of experience in large-scale simulation environments
Strong skills in coding performance models in C++ and building simulation frameworks (e.g., GEM5, SST)
Expertise in HPC or data-center architecture design: processors, accelerators, interconnects, and memory systems
Proficiency in analyzing large-scale workloads using open-source or custom simulation tools
Strong programming skills (C, C++, Fortran, Python) and familiarity with parallel programming (MPI, OpenMP, CUDA, OpenCL)
Hands-on architect with deep experience in building and scaling simulation environments
Skilled at balancing simulation accuracy and performance to drive architectural decisions
Experienced in optimizing ML applications across both hardware micro-architecture and software stacks
A collaborator who communicates effectively across hardware, software, and research teams
Curious and forward-thinking, eager to explore emerging technologies in ML, HPC and data-center system design

Responsibilities

Leading the development of advanced simulation environments for cutting-edge computing architectures composed of CPU, ML compute, memory, and scale-up and scale-out network technologies
Evaluating workloads consisting of cutting-edge ML as well as future-looking heterogeneous programs
Collaborating with hardware engineers, software developers, and domain experts to deliver simulation environments that guide architectural design and optimization

Skills

SoC Simulation

Heterogeneous Architectures

RISC-V

ML Optimization

CPU Architecture

Memory Systems

Networking

Micro-architecture

HPC

Simulation Environments

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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