Midcore CPU Performance 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, SemiconductorsIndustries

Requirements

Strong grasp of CPU microarchitecture fundamentals, especially around instruction scheduling, register files, scalar and vector execution, and optimizing instruction execution latencies
Experience with performance simulation tools like Gem5 or SimpleScalar and comfort analyzing system bottlenecks and tuning performance
Collaborative, organized, and enjoy bridging architectural ideas with hands-on modeling and analysis
Familiarity with HDLs (Verilog, VHDL) and low-level C/C++ programming (a plus)

Responsibilities

Drive the architecture and microarchitecture of the midcore unit for out-of-order RISC-V CPUs
Model, simulate, and evaluate mid-core performance and PPA (power, performance, area) tradeoffs, including novel cross-unit instruction scheduling and execution techniques
Propose and prototype new approaches to optimize scheduling and execution paths and improve instruction/data throughput
Collaborate with software, RTL, and performance modeling teams to close the loop on real-world performance

Skills

Key technologies and capabilities for this role

RISC-VCPU MicroarchitectureInstruction SchedulingRegister FilesScalar ExecutionVector ExecutionGem5SimpleScalarVerilogVHDLC/C++

Questions & Answers

Common questions about this position

Is this role remote or does it require office work?

This role is remote, based out of the United States.

What salary or compensation can I expect for this position?

This information is not specified in the job description.

What key skills are required for the Midcore CPU Performance Architect role?

Candidates need a strong grasp of CPU microarchitecture fundamentals, especially instruction scheduling, register files, scalar and vector execution, and optimizing instruction execution latencies. Experience with performance simulation tools like Gem5 or SimpleScalar for analyzing bottlenecks and tuning performance is required. Collaborative skills, organization, and familiarity with HDLs (Verilog, VHDL) and low-level C/C++ are pluses.

What is the company culture like at Tenstorrent?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems. The team consists of diverse technologists passionate about AI and building the best AI platform, working alongside top minds in high-performance computing and CPU micro-architecture.

What makes a strong candidate for this role?

Strong candidates have deep expertise in CPU microarchitecture, experience with performance simulation tools, and a collaborative approach to bridging architecture with modeling. Candidates at various experience levels are welcome, as the interview process assesses the appropriate level for offers.

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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