Full-Time

SoC Design Verification Lead

Chiplets

Confirmed live in the last 24 hours

Tenstorrent

Tenstorrent

501-1,000 employees

Builds advanced computers for AI applications

Hardware
AI & Machine Learning

Senior

Toronto, ON, Canada

This is a hybrid role based out of Toronto, Ontario.

US Citizenship Required

Category
Control Systems Engineering
Electrical Engineering
Required Skills
Python
Perl
C/C++
FPGA
Requirements
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field.
  • 10+ years of experience in digital hardware verification, with at least 4 years in a management or leadership role.
  • Proven experience with SoC-level verification, including SystemVerilog, UVM, and constrained random verification techniques.
  • Strong experience in low power verification methodologies and power/performance validation.
  • Strong & demonstrable proficiency in SV-UVM, C/C++(DPI), python, perl, TCL, test bench code.
  • Expertise in FPGA prototyping and emulation techniques.
  • A strong understanding of computer architecture, machine learning frameworks, and efficient parallelization methods for deep learning execution & modern CPU architectures & micro-architecture.
  • Excellent communication and interpersonal skills with a focus on team-building, leadership, and collaborative problem-solving.
  • Prior experience in driving project verification from concept to tape-out.
Responsibilities
  • Lead and manage a team of Digital Verification Engineers responsible for verifying Tenstorrent's SoC logic and digital IP.
  • Participate in & oversee the creation of test plans, development of testbenches, monitors, checkers, tests, models, assertions, methodologies, integration of VIP, etc…
  • Ensure the application of advanced verification methodologies such as UVM, FPGA prototyping, and emulation. (Formal is a plus)
  • Champion best practices for low power verification and coverage-driven constrained random verification.
  • Monitor the verification process, including functional, performance and power verification, and drive the team toward successful tape-out.
  • Conduct regular reviews of verification metrics and results, ensuring that verification convergence meets project goals.
  • Provide & explain verification execution metrics and how they relate to program status. Use this to understand and drive changes in plans or resources as necessary.
  • Collaborate with cross-functional teams such as architects, designers, and post-silicon validation teams to ensure comprehensive coverage and performance optimization.
  • Provide mentorship, technical guidance, and performance feedback to your team, fostering a culture of growth and innovation.
  • Handle resource planning, project prioritization, and ensure the team remains aligned with organizational goals.

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 exclusively on AI computing, which allows them to tailor their systems to meet the unique demands of this field. The company's goal is to advance the capabilities of AI through superior computing power, serving clients in various sectors that rely on AI technology.

Company Stage

N/A

Total Funding

$616.8M

Headquarters

Toronto, Canada

Founded

2016

Growth & Insights
Headcount

6 month growth

20%

1 year growth

43%

2 year growth

131%
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.

Help us improve and share your feedback! Did you find this helpful?