Full-Time

Senior Design Engineer

Posted on 9/3/2024

Tenstorrent

Tenstorrent

501-1,000 employees

Builds advanced computers for AI applications

Hardware
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

+ Base + Variable Compensation

Junior, Mid

Santa Clara, CA, USA

Hybrid position requiring in-office presence at 2600 Great America Way Ste 501, Santa Clara, CA 95054.

US Citizenship Required

Category
Hardware Engineering
Electronic Hardware Engineering
Hardware Validation & Testing
Required Skills
Verilog
Python
Perl
VHDL
Linux/Unix
Requirements
  • Bachelor’s degree in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Engineering (CE), or Computer Science (CS) and 36 months of experience in job offered or in related occupation.
  • Master’s degree in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Engineering (CE), or Computer Science (CS) and 24 months of experience in job offered or in related occupation.
  • Knowledge of Modern computer architecture including processor pipeline, memory hierarchy; Verifying Logic design and representing the same in HDL (e.g. Verilog or VHDL); Architectural/microarchitectural performance trade-offs, using Unix/Linux environment, Perl or Python or Ruby, VCS or NC-Verilog, System Verilog or UVM; debug tools or waveform viewers; Formal verification tools and techniques.
Responsibilities
  • RTL design and development of IP (e.g. CPU, Network-on-chip, etc.) and SOCs used in Core and ASICs.
  • Define architectural, microarchitectural and logic requirements and write code in a hardware description language (e.g. Verilog, VHDL, Chisel, etc.) to implement chip functionality.
  • Explore open source as well as vendor tools and methodologies.
  • Use industry standard EDA tools for design implementation such as but not limited to VCS, NC-Verilog, Verilator.
  • Develop tools and environments as needed to implement the design in RTL.
  • Analyze workloads from applications to industry standard benchmarks and proprietary microbenchmarks.
  • Use this analysis to evaluate hardware changes for IP and SOC microarchitecture.
  • Drive trade-offs for logic by working closely with performance, verification 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.
  • Run experiments to evaluate synthesis, timing and power results.
  • Debug RTL/logic issues across various hierarchies (core, chip) in both pre-silicon and post-silicon environment.
  • Apply knowledge of computer architecture, instruction set, digital and circuit design to develop and simulate the design.
  • Use disparate programming languages such as C/C++, Python, Perl, Verilog, System Verilog, Assembly to perform various tasks related to RTL design.
  • Work collaboratively with other members of the team across various domains.

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.

Company Stage

Series D

Total Funding

$1.3B

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-6%

2 year growth

-4%
Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Tenstorrent unique

  • 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.

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Benefits

Hybrid Work Options

INACTIVE