Senior Software QA/CI Automation Lead

Senior Software QA Engineer

Cornelis Networks delivers high-performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture integrates hardware, software, and system-level technologies to maximize the efficiency of GPU, CPU, and accelerator-based compute clusters at scale. Our solutions help customers push the boundaries of AI and HPC by eliminating bottlenecks and enabling massive-scale training, inference, simulation, and data-intensive workloads.

We are a fast-growing team of architects, engineers, and business professionals with a proven track record of building successful products and companies. As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and remote roles.

Cornelis Networks is seeking an experienced Senior Software QA Engineer to lead our CI test automation effort for high-performance networking products. This role will own the strategy, architecture, monitoring, and day-to-day improvement of automated CI validation, including test framework development, pipeline reliability, failure triage, reporting, and continuous improvement across multiple products and validation cycles.

As a key member of the software team, you will help move system and component validation from manual or semi-automated workflows toward scalable, repeatable, high-signal automated testing. You will build Python-based test frameworks, expand automated regression coverage, improve Jenkins-based pipelines, and partner with engineering teams to make CI results trusted, actionable, and central to release decisions.

The ideal candidate is a hands-on automation leader who can architect robust validation infrastructure, debug difficult failures across system and network layers, mentor engineers on automation practices, and continuously improve the speed, reliability, and quality signal of the CI testing environment.

Key Responsibilities:

• Lead Automated QA
• Drive Test Infrastructure
• Build Reliable Regression Coverage
• Improve CI/CD Pipeline Quality
• Own Agentic Failure Triage and Debug Workflows
• Define Quality Gates and Reporting
• Drive Cross-Team Validation Alignment
• Champion AI-Assisted Development
• Continuously Improve Validation Practices

Minimum Qualifications:

• B.S. or M.S. degree in Computer Science, Engineering, Technology, or a related discipline, or equivalent practical experience.
• 8 + years of experience in software QA, system validation, test automation, CI automation, integration testing, or related engineering roles.
• Hands-on experience building, maintaining, or improving CI/CD pipelines.
• Experience leading automated regression strategy, CI test development, failure triage, or pipeline quality improvement efforts.
• Experience with system-level or integration-level software validation.
• Strong debugging and troubleshooting skills across software, system, network, configuration, infrastructure, or test automation layers.
• Working knowledge of version control software such as Git.
• Excellent communication, organization, and time management skills.
• Experience collaborating across engineering teams to turn requirements, defects, and debug workflows into automated validation coverage.

Preferred Qualifications:

• Prior QA leadership experience, such as Head of QA, QA Manager, SQA Manager, validation lead, CI automation lead, or technical test lead.
• Experience establishing QA processes, test strategy, defect triage workflows, quality metrics, and release-readiness reporting.
• Experience leveraging AI-assisted development tools for code generation, debugging, test reviews, documentation, or workflow acceleration.
• Experience using Ansible for configuration management and deployment.
• Familiarity with Agile practices such as sprint planning, backlog grooming, retrospectives, and technical guidance within scrum teams.
• Experience with Ethernet networking protocols and standards, including IEEE 802.3 and high-performance network protocols such as Infini Band, Omni-Path, and RoCE.
• Ability to work independently and proactively in a highly collaborative, multi-disciplinary engineering environment.

Location: This is a remote position for employees residing within the United States.

We offer a competitive compensation package that includes equity, cash, and incentives, along with health and retirement benefits. Our dynamic, flexible work environment provides the opportunity to collaborate with some of the most influential names in the semiconductor industry.

At Cornelis Networks your base salary is only one component of your comprehensive total rewards package. Your base pay will be determined by factors such as your skills, qualifications, experience, and location relative to the hiring range for the position. Depending on your role, you may also be eligible for performance-based incentives, including an annual bonus or sales incentives.

In addition to your base pay, you will have access to a broad range of benefits, including medical, dental, and vision coverage, as well as disability and life insurance, a dependent care flexible spending account, accidental injury insurance, and pet insurance. We also offer generous paid holidays, 401(k) with company match, and Open Time Off (OTO) for regular full-time exempt employees. Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.

Cornelis Networks does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.