Senior System Validation Engineer

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware, software and system level technologies to maximize the efficiency of GPU, CPU and accelerator-based compute clusters at any scale. Our solutions drive breakthroughs in AI & HPC workloads, empowering our customers to push the boundaries of innovation. Backed by top-tier venture capital and strategic investors, we are committed to innovation, performance and scalability - solving the world’s most demanding computational challenges with our next-generation networking solutions.  

We are a fast-growing, forward-thinking 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 fully remote roles. 

Cornelis Networks is seeking a talented experienced Senior System Validation Engineer to drive system- and component-level validation including test design and development, automation, continuous integration, debug, documentation, and reporting.  As a key member of our validation team, you will be responsible for architecting, developing, and maintaining software tools, test frameworks, and CI/CD pipelines.

Responsibilities

Architect and drive the implementation of validation infrastructure including shared libraries, frameworks, and reusable modules, written in Python

Clearly document infrastructure and test development plans and align them to key feature delivery dates across multiple products and validation cycles

Design and execute test cases at all stages of the validation lifecycle, from manual investigative testing to complete automated regression test suites 

Design, implement, update, and debug automated test cases 

Configure and maintain continuous integration systems, monitor results, and triage failures 

Troubleshoot and debug issues at the system, network, and software component levels 

Champion AI-assisted development tool adoption into team workflows, including evaluating new tools, establishing best practices for use, and driving process improvements that increase development velocity and code quality

Identify gaps, suggest solutions, and continually enhance software validation procedures, processes, and practices

Minimum Qualifications

S or M.S. Degree in Computer Science, Engineering, Technology, or related discipline and at least 3-5 years of work experience

Candidate must demonstrate excellent communication, organization, and time management skills 

Demonstrated experience with object-oriented programming in Python

Experience with multiple of the following: 

Software validation at the system and/or integration level 

Debugging and troubleshooting system, network, and software issues 

Collaborating across teams to ensure quality test development and issue resolution

Solid understanding of agile practices such as sprint planning, backlog grooming, and retrospectives, with demonstrated experience leading scrum ceremonies and providing technical guidance to team members

Experience with networking technologies, especially Omni-Path, InfiniBand, Ethernet, or other HPC or RDMA interconnects 

Working knowledge of version control software (e.g., git) 

Solid understanding of CI/CD concepts and experience with pipeline automation tools such as Jenkins

Preferred Qualifications  

Experience leveraging AI-assisted development tools to accelerate coding workflows, including code generation, debugging, and test reviews

Prior Linux system administration experience

Utilizing Ansible for configuration management and deployment

Knowledge of storage filesystems, protocols, and benchmarks

Ability to work independently and proactively in a highly collaborative, multi-disciplinary engineering environment.

Knowledge of UEFI capabilities and utilizing PXE boot for installation and configuration of various Linux distributions

Experience with Ethernet networking protocols and standards (IEEE 802.3) and familiarity with the Ultra Ethernet Consortium specification is a plus

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’ll 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.