Performance Architect, AI HW at Tenstorrent

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Semiconductors, Machine LearningIndustries

Requirements

Deeply analytical engineer with strong intuition for AI workload behavior and system-level performance bottlenecks
Experienced in C++ and Python for simulation, modeling, and performance analysis across heterogeneous compute systems
Adept at bridging software and hardware teams—translating deep learning workloads into architectural insight and measurable design tradeoffs
Curious, data-driven, and comfortable pushing the limits of efficiency, scalability, and accuracy in high-performance AI systems

Responsibilities

Benchmark and analyze complex AI workloads across single and multi-node hardware configurations to guide next-gen architecture
Develop and maintain performance models, simulators, and micro-benchmark suites to drive feature evaluation and design optimization
Conduct detailed PPA (Performance, Power, Area) studies to assess design tradeoffs and inform hardware-software co-design decisions
Collaborate closely with RTL, Compiler, and Runtime teams to instrument and correlate performance models with silicon results

Skills

C++

Python

AI Performance Modeling

Performance Analysis

RISC-V

Deep Learning Workloads

Heterogeneous Compute

Benchmarking

System Simulation

Hardware Architecture

RTL

AI Hardware

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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