INACTIVE
Full-Time
Lead CPU Load/Store Verification Engineer
Posted on 1/30/2023
Develops AI/ML accelerators and hardware
Hardware
AI & Machine Learning
Senior
Austin, TX, USA
Requirements
- BS/MS/PhD in EE/ECE/CE/CS with at least 8 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 cohereney protocols, memory consistency and multi-processors
- 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
Responsibilities
- Lead functional and performance verification of the load store unit for a from-scratch high performance CPU while working closely with Architecture and RTL team
- Develop detailed block level verification plans for load store 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 load store block
At Tenstorrent, employees are immersed in a cutting-edge environment focused on AI/ML accelerator technology. The company designs high-quality hardware solutions using industry-standard chiplets and a modular RISC-V CPU, supporting a wide range of AI applications. The integration of the BUDA software framework encourages open-source collaboration, making it an ideal workplace for innovation and leading-edge tech development in AI and deep learning.
Company Stage
Series C
Total Funding
$334.5M
Headquarters
Toronto, Canada
Founded
2016
Growth & Insights
Headcount
6 month growth
↑ 17%1 year growth
↑ 53%2 year growth
↑ 152%INACTIVE