Tenstorrent

Staff Engineer, Shared Cache Design Verification

US
USD 100k - 500k
C++
Description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Experienced engineer focused on L2/Shared Cache verification for high-performance CPUs. The person coming into this role will work on a server class L2/Shared Cache unit 

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

 

Responsibilities:

  • Functional and performance verification of the L2/Shared Cache unit for a from-scratch high performance CPU while working closely with Architecture and RTL team 
  • Develop detailed block level verification plans for L2/Shared Cache that includes both architectural (RISCV ISA) and microarchitectural functionality 
  • Design and develop reusable block level testbench components in SV, UVM and C++, that include microarchitectural models, monitors, checkers 
  • Develop random and directed stimulus that spans pre-silicon, emulation and post-silicon domain 
  • Evaluate and integrate open-source toolchains into the DV flow 
  • Develop DV environment, tools and infrastructure to enable functional verification for pre-silicon, emulation and post-silicon 
  • Work with design, test and post silicon validation teams to ensure high quality delivery of the L2/Shared Cache block

 

Experience & Qualifications:

  • BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of experience 
  • Strong background and experience with high performance OOO CPU microarchitecture especially with load/store, caches and memory subsystem  
  • Experience working on an x86, ARM or RISCV based CPU 
  • Architectural understanding of address translation, memory ordering, cache coherence protocols, memory consistency, multi-processors and fabric topologies 
  • Significant experience debugging RTL and DV in a simulation environment 
  • Verification methodologies and techniques – Simulation/debug, TB development, stimulus, checking, coverage, infrastructure, tools 
  • Experience with C++ / SV / UVM as well as scripting languages 
  • Experience with hardware description languages (Verilog, VHDL) and simulators (VCS, NC, Verilator) 
  • Strong problem solving and debug skills across various levels of design hierarchies

 

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set  by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government.  If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.

Tenstorrent
Tenstorrent
Application Specific Integrated Circuit (ASIC) Artificial Intelligence (AI) Electronics Hardware Machine Learning Semiconductor

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