Senior Verification Design Automation Engineer

Cornelis Networks

. Develop, maintain, and improve AI-based flows for verification infrastructure, automation frameworks, and execution environments across block, subsystem, and SoC-level ASIC verification .

Posted 9/18/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in AI-based verification infrastructure and automation frameworks, with strong capabilities in scripting and automation using Python, Perl, and Tcl. Proficient in managing complex verification environments and driving improvements in reliability and efficiency.

Highest-signal resume keywords

AI-Based Verification InfrastructureScripting and Automation (Python, Perl, Tcl)Linux-Based Engineering EnvironmentsSystemVerilog/UVM Verification MethodologiesEDA Tool Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPerlTclShell ScriptingMakeAutomation TechnologiesDebugging Automation FailuresRegression ExecutionEDA Tool FlowsData Analytics

Soft Skills

CollaborationProblem-Solving

Tools & Technologies

GitHub ActionsGit WorkflowsJob SchedulersContinuous Integration FlowsReporting Utilities

Industry Keywords

ASIC VerificationDesign AutomationVerification AutomationDistributed Compute InfrastructureVerification Execution

Tech Stack

Tools & technologies

LinuxPerlPythonShell Scripting

About the role

Key responsibilities & impact

Develop, maintain, and improve AI-based flows for verification infrastructure, automation frameworks, and execution environments across block, subsystem, and SoC-level ASIC verification
Build and support scalable regression flows, dashboards, reporting utilities, and triage automation
Create and enhance scripts, tools, and integrations using Python, Perl, Tcl, shell scripting, Make, and related automation technologies
Support simulation, coverage, lint, formal, emulation, and continuous integration flows
Collaborate with verification, design, architecture, and CAD teams
Manage compute, storage, license, queue, and job-dispatch infrastructure issues affecting verification execution and turnaround time
Drive automation improvements to make verification environments more reliable, reproducible, debuggable, and efficient across geographically distributed teams

Requirements

What you’ll need

8+ years of post-college experience in design automation, verification automation, CAD, infrastructure, or ASIC verification support
8+ years of experience with scripting and automation using Python, Perl, Tcl, shell scripting, or similar languages
Experience supporting Linux-based engineering environments, source-control systems, build flows, regression execution, and EDA tool integration
Ability to debug automation failures, tool/runtime issues, infrastructure bottlenecks, and workflow inefficiencies in complex verification environments
B.S. Degree in Computer Engineering, Computer Science, Electrical Engineering, or a related technical discipline
Experience supporting large-scale ASIC verification environments, regression farms, EDA tool flows, and distributed compute infrastructure
Knowledge of SystemVerilog/UVM verification methodologies
Experience with GitHub Actions, Git workflows, job schedulers, data analytics, and automation for regression management, coverage tracking, and productivity metrics
Employees must reside within the United States

Benefits

Comp & perks

Equity, cash, and incentives
Health benefits
Retirement benefits
Medical coverage
Dental coverage
Vision coverage
Disability insurance
Life insurance
Dependent care flexible spending account
Accidental injury insurance
Pet insurance
Generous paid holidays
401(k) with company match
Open Time Off (OTO) for regular full-time exempt employees
Sick time
Bonding leave
Pregnancy disability leave
Flexible work environment