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Full-Time

Staff Engineer

Gate-Level Simulation, Gls

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

Senior, Expert

Texas, USA + 1 more

US Citizenship Required

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
Verilog
Perl
VHDL
Requirements
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • Proven experience in gate-level simulation and verification for high-performance CPUs or similar complex digital designs.
  • Familiar with physical design flows and cell library views.
  • Strong understanding of digital design principles and methodologies.
  • Proficiency in simulation tools such as VCS, NC-Sim, ModelSim, or similar.
  • Familiarity with scripting languages (Python, Perl, TCL) for automation.
  • Solid knowledge of Verilog/VHDL and RTL design.
  • Experience with debugging tools and techniques for simulation failures.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Responsibilities
  • Develop a comprehensive GLS methodology for the CPU
  • Perform gate-level simulations to verify the functionality, performance, and timing of CPU designs.
  • Develop and execute comprehensive test plans for gate-level simulations.
  • Collaborate with RTL design, verification, and physical design teams to identify and resolve simulation issues.
  • Analyze simulation results, debug failures, and propose design improvements.
  • Ensure thorough coverage and validation of all critical paths and corner cases.
  • Automate simulation workflows to enhance efficiency and reproducibility.
  • Assist in the development and maintenance of simulation environments and tools.
  • Document simulation methodologies, results, and best practices.

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

13%

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.