CPU Design Verification Technical 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

AI, Semiconductors, TechnologyIndustries

Requirements

Bachelor's or Master's degree in Computer Engineering or Electrical Engineering
7+ years of experience in microprocessor or GPU verification, with expertise in areas such as coherency, memory consistency, or pipeline
Strong understanding of computer architecture and out-of-order CPU micro-architecture
Proficiency in creating and executing test plans, from initial feature bring-up to closure, and hands-on experience with portable test-benches, pseudo-random test generators, and emulation
Strong programming skills in C++, Python, and System Verilog
Passionate about computer architecture and design verification
Detail-oriented and driven to overcome complex challenges
Comfortable collaborating with design, microarchitecture, and verification teams to identify subtle logic bugs
Demonstrated experience applying one or more design verification methodologies to CPU or GPU verification, including leading a team
Strong communication and excellent interpersonal skills for effective team collaboration
Eligible to access U.S. export-controlled technology (per U.S. export laws including EAR)

Responsibilities

Validate high-performance out-of-order RISC-V CPU designs
Lead a team of verification engineers
Work closely with architects and micro-architects to ensure the integrity of complex CPU designs
Take charge of verifying one or more CPU functions, gaining hands-on experience in ensuring correctness of critical designs
Build robust verification environments and methodologies, including test benches, checkers, and coverage models that drive design confidence
Develop and execute comprehensive test plans, from design bring-up and regression setup to coverage closure
Work side by side with architecture, micro-architecture, formal verification, and emulation teams to align efforts and resolve challenges
Apply artificial intelligence techniques to boost verification productivity and improve overall quality

Skills

Key technologies and capabilities for this role

RISC-VCPU VerificationDesign VerificationOut-of-Order CPUCoherencyMemory ConsistencyMicroprocessor VerificationGPU VerificationComputer ArchitectureMicroarchitecture

Questions & Answers

Common questions about this position

What is the work arrangement for this role?

The role is hybrid, based out of Austin, TX or Santa Clara, CA.

What are the required qualifications and experience for this position?

Candidates need a Bachelor's or Master's degree in Computer Engineering or Electrical Engineering, 7+ years of experience in microprocessor or GPU verification with expertise in areas like coherency or pipeline, strong understanding of computer architecture and out-of-order CPU micro-architecture, proficiency in creating test plans and using portable test-benches, and strong programming skills in C++, Python, and System Verilog.

What does the company value in its team members?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems, with a diverse team passionate about AI and building the best AI platform.

Is there a salary range mentioned for this role?

This information is not specified in the job description.

What should I highlight in my application for this role?

Highlight your passion for computer architecture and design verification, experience leading verification teams using methodologies for CPU or GPU, detail-oriented problem-solving, collaboration skills across design and verification teams, and expertise in C++, Python, System Verilog, and out-of-order micro-architecture.

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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