SoC Performance Architecture Lead 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

Semiconductors, Automotive, Artificial IntelligenceIndustries

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field. A Ph.D. is a plus
Experience analyzing ML workloads
Solid understanding of CPU, interconnect and memory subsystem behavior
Solid understanding of computer architecture, interconnects and memory system behavior
Proven experience in modelling and analysing complex workloads for SoCs
Strong problem-solving skills and the ability to analyse complex system-level issues
Excellent communication skills and the ability to collaborate effectively with cross-functional teams

Responsibilities

Drive all aspects of performance for Tenstorrent automotive chiplet systems
Develop SoC and subsystem level performance use case descriptions
Develop models of interconnect and memory subsystem behaviour for target workloads
Work with external vendors on performance planning and drive the work to completion
Drive internal activities, including simulation, modeling and emulation
Plan and lead the automotive performance analysis activities

Skills

Key technologies and capabilities for this role

SoC ArchitecturePerformance ModelingChiplet SystemsInterconnect ModelingMemory SubsystemPerformance SimulationEmulationRISC-VAutomotive SoCSystem Analysis

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, with the actual offer impacted by experience, skills, education, background, and location.

Is this role remote, and what are the location requirements?

This role is remote, based out of United States.

What key skills and experience are required for this position?

Required qualifications include a Bachelor's or Master's in Electrical Engineering, Computer Engineering, or related field (Ph.D. a plus), experience analyzing ML workloads, solid understanding of CPU, interconnect, and memory subsystem behavior, proven experience in modeling and analyzing complex workloads for SoCs, strong problem-solving skills, and excellent communication and collaboration abilities.

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 the best AI platform using high-performance RISC-V CPU technology.

What should I know about the application and interview process?

Tenstorrent welcomes candidates at various experience levels; during the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the posting.

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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