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Full-Time

Staff – Physical Design Engineeer

Lec

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

+ Variable Compensation

Senior

Austin, TX, USA + 2 more

US Citizenship Required

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
Perl
Requirements
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 5+ years of experience in physical design and verification, with a focus on LEC.
  • Strong understanding of digital design principles, RTL coding, and synthesis.
  • 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.
  • Solid knowledge of scripting languages (e.g., Python, Tcl, Perl) for automation tasks.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and teamwork skills.
Responsibilities
  • Perform Logic Equivalence Check (LEC) to ensure functional consistency between RTL and gate-level netlists.
  • Work closely with front-end design teams to understand design specifications and constraints.
  • Debug and resolve equivalence check issues, including formal verification failures and synthesis mismatches.
  • Provide feedback and recommendations to improve design flows and methodologies for LEC.
  • Document logical equivalence verification processes, methodologies, and results.
  • Perform physical design tasks including such as synthesis, PnR, timing closure, area improvement, floorplanning, clocking, I/O planning and power optimization.
  • Utilize industry-standard EDA tools Synthesis, LEC, PnR, timing closure tasks.

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.