Full-Time

RTL Engineer-CPU Load/Store Unit

Lsu

Posted on 11/15/2024

Tenstorrent

Tenstorrent

501-1,000 employees

Builds advanced computers for AI applications

Hardware
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

Senior

Austin, TX, USA + 1 more

More locations: Santa Clara, CA, USA

Hybrid role based out of Santa Clara, CA or Austin, TX.

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Verilog
VHDL
Requirements
  • BS/MS/PhD in EE/ECE/CE/CS with at least 5 years of industry experience
  • Strong background and experience with high performance OOO CPU microarchitecture
  • Experience working on an x86, ARM or RISC-V based CPU
  • Architectural understanding of the load/store engines, memory consistency, MMU, Interface protocols for an Out of Order CPU
  • 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 the Load/Store unit for a from-scratch high performance CPU based on RISC-V ISA, 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
  • 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 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 exclusively on AI computing, which allows them to tailor their systems to meet the unique demands of this field. The company's goal is to advance the capabilities of AI through superior computing power, serving clients in various sectors that rely on AI technology.

Company Stage

N/A

Total Funding

$616.8M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

20%

1 year growth

43%

2 year growth

129%
Simplify Jobs

Simplify's Take

What believers are saying

  • The launch of next-generation Wormhole-based developer kits and workstations could attract a significant developer community, driving innovation and adoption.
  • Collaborations with industry giants like Hyundai and Rapidus indicate strong growth potential and access to advanced manufacturing technologies.
  • The introduction of specialized AI inference acceleration boards like the Grayskull e75 and e150 can capture a niche market in AI and machine learning applications.

What critics are saying

  • The competitive landscape in AI hardware is intense, with major players like NVIDIA and Intel posing significant challenges.
  • Dependence on strategic partnerships for advanced manufacturing and technology development could lead to vulnerabilities if these partnerships falter.

What makes Tenstorrent unique

  • Tenstorrent's use of RISC-V architecture in their AI processors offers a unique alternative to traditional x86 and ARM architectures, providing flexibility and open-source benefits.
  • Their focus on high-performance AI chips and scalable developer kits positions them as a key player in the AI hardware market, particularly for developers seeking robust multi-chip solutions.
  • Strategic partnerships with global entities like Rapidus and C-DAC enhance their capabilities in cutting-edge semiconductor technology and edge AI processing.

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