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Tech Lead– Verification Methodology/CAD

MindPal·Salary not specified

Primary stack

PythonPerlPowerShellC++Linux

Nice to have's

JenkinsGitLab CI

Job description

About the Position

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

We are looking for a Tech Lead – Verification Methodology/CAD/Automation Engineer to drive verification infrastructure, methodology, automation, and productivity across IP and SoC verification teams.

Responsibilities

  • Own and drive verification methodology and infrastructure across projects.
  • Develop scalable frameworks for simulation, regression, coverage, debug, and verification signoff.
  • Build and maintain verification CAD/automation flows.
  • Develop automation scripts and tools using Python, Tcl, Perl, Shell, and/or C++.
  • Automate test generation, compilation, regression execution, result collection, coverage analysis, and reporting.
  • Develop infrastructure for large-scale UVM/SystemVerilog verification environments.
  • Improve simulation and regression turnaround time through parallelization and optimization.
  • Integrate simulation, lint, CDC/RDC, formal, coverage, and other verification tools into common workflows.
  • Develop dashboards and metrics for verification quality, coverage, regression health, and project status.
  • Debug infrastructure and tool-flow issues and provide rapid support to verification teams.
  • Establish reusable verification components, scripts, libraries, and methodology guidelines.
  • Drive adoption of best practices across multiple verification teams.
  • Evaluate new verification technologies and tools and recommend improvements.
  • Work closely with EDA vendors to troubleshoot tool issues and improve flows.
  • Support migration and integration of new EDA tool versions and methodologies.
  • Develop documentation and training for verification teams.
  • Mentor verification CAD/methodology engineers and provide technical leadership.

Requirements

  • Experience: 6–12 years
  • Technical Skills:
    • Strong experience in verification methodology, CAD, and automation.
    • Strong programming/scripting skills in Python, Tcl, Perl, Shell, and preferably C/C++.
    • Strong understanding of SystemVerilog/UVM.
    • Experience with simulation tools such as VCS, Xcelium, Questa, or equivalent.
    • Experience building and maintaining regression infrastructure.
    • Strong knowledge of coverage collection and analysis.
    • Understanding of verification flows including:
      • Simulation
      • UVM
      • Lint
      • CDC/RDC
      • Formal
      • Code/functional coverage
      • Regression
      • Debug
    • Strong Linux/Unix environment experience.
    • Excellent automation and problem-solving skills.

Nice to Have

  • Experience with large-scale SoC/IP verification environments.
  • Experience integrating multiple EDA tools into a unified verification flow.
  • Experience with CI/CD infrastructure such as Jenkins, GitLab CI, or equivalent.
  • Experience with distributed/parallel regression infrastructure.
  • Experience with cloud-based or scalable compute environments.
  • Knowledge of databases, dashboards, APIs, or web-based verification infrastructure is an advantage.
  • Experience working with EDA vendors and managing tool-flow issues.

We Offer

  • Opportunity to work with cutting-edge AI infrastructure solutions.
  • Collaborative and innovative work environment.
  • Professional growth and development opportunities.

About the Company

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.

© MindPal. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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MindPal

Recruitment & HR Tech,AI & Automation,Fintech,E-learning,Healthcare,E-commerce

About the Company MindPal is a project initiated by Sky Gate Company, designed to address challenges in IT recruitment by connecting companies with candidates through a unique platform. The company focuses on delivering talent, technology, and traction to clients, having successfully partnered with over 250 businesses globally. MindPal specializes in AI-driven digital transformation, offering scalable solutions for startups and enterprises across various industries. Products, Services & Tech Stack Core Solutions AI Agents & Assistants: Intelligent AI agents that automate tasks, manage workflows, and provide real-time support. MVP Development: Transforming business ideas into working products for quick testing and validation. AI Consulting: Expert guidance on AI strategy and implementation. Chatbots: Custom conversational bots for user engagement and support. SaaS Solutions: Scalable cloud-based products tailored to business needs. AI Automation: Tools for optimizing workflows and increasing operational efficiency. Technologies & Frameworks Ruby on Rails React TypeScript Docker Heroku Django Angular Python VOIP Jenkins Project Scope & Target Clients Client Base Verticals: Fintech, e-learning, healthcare, e-commerce. Client Types: Startups and established Fortune 500 corporations. Engineering Scale Scope: Full-stack digital product consulting and partnership. Complexity: Projects range from MVP development to full-scale SaaS solutions.

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