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Cognichip

Senior Design Verification Engineer

  • Toronto, ON, Canada

$150,000 to $180,000 CAD / year · Full-time

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Job details

Pay
$150,000 to $180,000 CAD / year
Job type
Full-time
Experience
Experience: 5–8+ years of experience in design verification or hardware-focused software development.
Posting language
English
Posted

Original job description

Job Title

Senior Design Verification Engineer

About Cognichip

  • At Cognichip, we are building AI-native tools that transform how semiconductor engineers create, verify, and optimize chips.
  • Our platform combines large proprietary models, agentic workflows, domain-specific engineering intelligence, and high-performance simulation infrastructure to accelerate one of the world's most complex engineering disciplines.

About The Role

  • We are seeking a Senior Design Verification Engineer who can combine strong verification expertise with applied AI/ML collaboration to help build production-grade tools for chip verification.
  • In this role, you will help turn advanced research ideas into practical workflows used by engineers verifying real silicon.
  • This work matters because verification is one of the biggest bottlenecks in modern chip design, and AI-native systems can meaningfully change the speed, quality, and scale of verification work.

Key Responsibilities

  • Bridge Hardware and Software: Translate verification domain expertise into clear requirements that inform tool development and model behavior.
  • Support Data Pipelines: Contribute to workflows that generate synthetic or augmented verification code and testbenches, creating the datasets needed to train and evaluate AI models.
  • Workflow Optimization: Help refine automated workflows for verification-related tasks such as test planning, coverage analysis, and bug triage.
  • Infrastructure Support: Build and maintain simulation and testing infrastructure to validate AI-generated verification artifacts.
  • Collaboration: Work closely with AI researchers, software engineers, and other hardware engineers to ensure verification requirements are accurately reflected in tools and models.

Required Qualifications

  • Experience: 5–8+ years of experience in design verification or hardware-focused software development.
  • Verification Domain: Strong understanding of verification methodologies and testbench development for digital designs.
  • EDA Tools: Practical experience with industry-standard simulation and verification tools.
  • Software Proficiency: Solid programming skills in Python, C++, or similar languages.
  • AI/ML Exposure: Interest in or exposure to LLMs, prompt engineering, or machine learning frameworks applied to technical domains (prior hands-on ML experience is a plus, not required).
  • Education: BS, MS, or PhD in Electrical Engineering, Computer Engineering, Computer Science, or a related field.

Preferred Qualifications

  • Experience contributing to or building automated/agentic workflows for engineering tasks.
  • Background in computer architecture, particularly for AI accelerators or high-performance computing.
  • Contributions to open-source hardware or AI projects.

What It's Like Here

  • We're a fast-moving AI startup with a collaborative, high-trust culture.
  • We value technical excellence, ownership, and the freedom to experiment.
  • Our best work happens when our builders and innovators work closely together to turn ambitious ideas into category-defining products.
  • We operate on a hybrid schedule with four days in office, one day remote.
  • If you're excited to build tools that empower semiconductor engineers and reshape how chips are verified, you'll feel right at home.
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More about this job

Responsibilities

The role involves bridging hardware verification expertise with AI/ML collaboration to build production-grade chip verification tools. Responsibilities include optimizing automated workflows for test planning and maintaining simulation infrastructure to validate AI-generated artifacts.

Requirements

Candidates need 5-8+ years of experience in design verification or hardware software development with proficiency in Python or C++. A degree in Electrical Engineering, Computer Science, or a related field is required, along with a strong understanding of EDA tools.

Skills

  • Design Verification
  • Hardware-focused Software Development
  • Testbench Development
  • EDA Tools
  • Python
  • C++
  • LLMs
  • Prompt Engineering
  • Machine Learning Frameworks
  • Computer Architecture
  • Coverage Analysis
  • Bug Triage
  • Simulation Infrastructure
  • Agentic Workflows
  • Digital Design
  • Synthetic Data Generation

Visa sponsorship

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Categories

  • Engineering
  • Software
  • Technology
  • Science & Research
  • Data & Analytics

Keywords

  • Design Verification
  • AI-native Tools
  • Semiconductor
  • LLMs
  • Prompt Engineering
  • Machine Learning
  • EDA Tools
  • Python
  • C++
  • Computer Architecture
  • AI Accelerators
  • High-performance Computing
  • Testbenches
  • Coverage Analysis
  • Bug Triage
  • Simulation Infrastructure
  • Digital Design
  • Agentic Workflows
  • Synthetic Data
  • Hardware Engineering

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