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Full-Time

Principal – Physical Design Architect

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

Expert

Austin, TX, USA + 2 more

US Citizenship Required

Category
Hardware Engineering
Computer Hardware Engineering
Required Skills
Python
Requirements
  • Bachelors in Computer Engineering or Electrical Engineering with 10+ years of relevant work experience or M.S. in Computer Engineering or Electrical Engineering (or higher degree) with 10+ years of relevant work experience
  • Experience with integrated circuit design tools (ex: Synopsys/Cadence), including logic synthesis, place and route, static timing analysis and design closure.
  • PV convergence (including static timing and power analysis).
  • Chip physical design verification including formal equivalence, timing, electrical rules, DRC/LVS, Noise and electro-migration checks.
  • Hands-on experience with synthesis, block and chip level implementation with industry standard PnR flows and tools.
  • Strong experience in SOC/ASIC/GPU/CPU design flows on taped out designs, expertise in timing closure at block/chip levels and ECO flows.
  • Scripting in an interpreted language (Python, TCL)
Responsibilities
  • Hands-on experience with synthesis and place and route using industry standard tools for high speed CPU core design.
  • Perform all aspects of design flow from logic synthesis, place and route, FEV, power, timing, quality checks, and design closure.
  • Develop strategies to deliver reproducible design convergence results.
  • Create, refine and own synthesis flow.
  • Develop and recommend better design method practices to enable better synthesis convergence.
  • Plan out resources, schedule, project PPA

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.