Risc-V Architect at Tenstorrent

Toronto, Ontario, Canada

Tenstorrent Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, SemiconductorsIndustries

Requirements

  • Experienced architect with over 10 years in CPU performance modeling and microarchitecture
  • Proficient in C++ and Python
  • Strong understanding of RISC-V instruction-set
  • Well versed in compiler design and how software stacks impact CPU performance and programmability
  • Familiar with open-source RISC-V cores and LLVM toolchains, including adding custom optimization passes
  • Eligible to access U.S. export-controlled technology (contingent upon citizenship/permanent residency status or ability to obtain prior license approval)

Responsibilities

  • Analyze AI workloads to identify CPU performance requirements and bottlenecks
  • Architect custom RISC-V CPU cores optimized for performance, power, and area
  • Design custom instructions that improve performance without sacrificing programmability
  • Collaborate across compilers, software, and hardware teams to co-design Tenstorrent’s next-gen compute architecture

Skills

Key technologies and capabilities for this role

RISC-VC++PythonCPU performance modelingmicroarchitecturecompiler designLLVMcustom optimization passesAI workloads

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

This role is hybrid, based out of Toronto, ON or Austin, TX.

What is the salary range or compensation for this position?

Tenstorrent offers a highly competitive compensation package and benefits, but specific salary details are not provided.

What skills and experience are required for the Risc-V Architect role?

Candidates need over 10 years in CPU performance modeling and microarchitecture, proficiency in C++ and Python, strong understanding of RISC-V instruction-set, expertise in compiler design and software stacks impacting CPU performance, and familiarity with open-source RISC-V cores and LLVM toolchains.

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.

What makes a strong candidate for this role?

Strong candidates have over 10 years of CPU architecture experience, RISC-V expertise, and skills in performance modeling, compilers, and LLVM; all experience levels are welcome as interviews assess the appropriate level.

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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