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Full-Time

Senior Design Engineer

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

Hardware
AI & Machine Learning

Compensation Overview

$100k - $500kAnnually

+ Base + Variable Compensation

Junior, Mid

Santa Clara, CA, USA

US Citizenship Required

Category
Control Systems Engineering
Embedded Systems Engineering
Electrical Engineering
Required Skills
Verilog
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 specializes in developing high-quality AI/ML accelerators, including individual PCIe cards, workstations, servers, and ultra-dense Galaxy pods, featuring industry-standard chiplets and a modular RISC-V CPU. Their products also incorporate a BUDA software framework designed for open-source collaboration, enabling efficient and scalable hardware for deep learning applications.

Company Stage

Series C

Total Funding

$334.5M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

10%

1 year growth

30%

2 year growth

116%
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.