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Full-Time

AI Hardware Design Verification Engineer

Posted on 9/30/2024

Tenstorrent

Tenstorrent

201-500 employees

Develops AI/ML hardware accelerators and software

AI & Machine Learning
Hardware
Data & Analytics

Compensation Overview

$100k - $500kAnnually

Senior, Expert

Boston, MA, USA + 4 more

More locations: Toronto, ON, Canada | Austin, TX, USA | Santa Clara, CA, USA | Fort Collins, CO, USA

This job is hybrid, based out of Austin, TX; Santa Clara, CA; Boston, MA; Fort Collins, CO; or Toronto, ON.

US Citizenship Required

Category
Hardware Engineering
Hardware Validation & Testing
Required Skills
Python
Perl
Requirements
  • Bachelor's or Master's degree in Electrical/Computer Engineering or a related field.
  • Proven experience as a Design Verification Engineer, with a focus on complex digital designs.
  • Strong knowledge of digital design concepts, including RTL, synthesis, and timing constraints.
  • Proficiency in verification methodologies such as UVM (Universal Verification Methodology) and SystemVerilog. CocoTB is a plus.
  • Experience in developing and executing verification plans, testbenches, and test cases for digital designs.
  • Solid understanding of functional coverage, assertion-based verification, and code coverage analysis.
  • Proficiency in scripting and programming languages like Python, Perl, or C/C++.
  • Familiarity with industry-standard EDA tools and simulation environments.
  • Excellent problem-solving and debugging skills, with a keen eye for detail.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively in a team-oriented environment.
  • Proven ability to work under tight deadlines and deliver high-quality results.
Responsibilities
  • Develop and execute comprehensive verification strategies to validate complex digital designs, ensuring compliance with specifications and standards.
  • Collaborate closely with design teams to understand design requirements and contribute to the creation of verification plans and testbenches.
  • Write and execute test cases to verify functionality, performance, and power aspects of the design.
  • Perform functional and formal verification to identify and debug design issues and ensure correct design behavior.
  • Develop and maintain verification infrastructure, methodologies, and best practices to improve efficiency and productivity.
  • Drive the adoption of advanced verification methodologies, tools, and techniques to enhance the overall verification process.
  • Mentor and provide technical guidance to junior verification engineers, sharing expertise and best practices.
  • Collaborate with cross-functional teams to analyze and resolve system-level issues and ensure seamless integration of the design.
  • Stay updated with the latest industry trends, emerging technologies, and verification methodologies to drive innovation and continuous improvement.

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

19%

1 year growth

39%

2 year growth

125%
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.