Full-Time

Lead Fabric/Memory subsystem RTL Engineer

Tenstorrent

Tenstorrent

201-500 employees

Builds next-generation computers for AI applications

Hardware
AI & Machine Learning

Senior

Austin, TX, USA

Requirements
  • 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 a Fabric for a CPU, GPU based system
  • Knowledge of industry standard protocols such as CHI, AXI, ACE, Tilelink, CMN
  • Architectural understanding of memory ordering, cache coherence protocols, memory consistency, multi-processors and fabric topologies
  • Expertise in logic design and ability to evaluate functional, performance, timing and power for you design
  • Strong experience with hardware description languages (Verilog, VHDL), simulators (VCS, NC, Verilator), Synthesis and Power tools
  • Expertise in microarchitecture definition and specification development
  • Strong problem solving and debug skills across various levels of design hierarchies
Responsibilities
  • RTL design and Microarchitecture of a high-performance Fabric used in a data center class from-scratch CPU, working closely with the DV and PD team
  • RTL coding in Verilog leveraging on both industry tools as well as open-source infrastructure
  • Work with design, test and post silicon validation teams for high quality delivery of the Fabric and Memory Subsystem
  • Evaluate and integrate 3rd party IP components in the design
  • Drive trade-offs for your logic by working closely with performance, DV and physical design engineers to craft optimal solutions that meet the design goals
  • Deploy innovative techniques for improving power, performance and area of the design, drive experiments with RTL and evaluate synthesis, timing and power results
  • Debug RTL/logic issues across various hierarchies (core, chip) in both pre-silicon and post-silicon environment
  • Enhance RTL design environment, tools and infrastructure

Tenstorrent, a global leader in AI computing, offers a unique work environment that fosters collaboration among experts in computer architecture, ASIC design, advanced systems, and neural network compilers. The company's competitive edge lies in its scalable RISC-V design, a testament to its commitment to technical innovation. With a diverse and inclusive culture spread across offices in Canada, the U.S., Belgrade, and Bangalore, Tenstorrent provides ample opportunities for growth and learning in the rapidly evolving AI industry.

Company Stage

Series C

Total Funding

$334.5M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

18%

1 year growth

72%

2 year growth

173%
INACTIVE