Software Engineer, Fabric Management

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.

Join Cornelis Networks' Fabric Management team to develop and enhance fabric management tools and infrastructure for high-performance computing environments. This role focuses on building robust, scalable software for fabric topology management, routing protocols, performance monitoring, and operational tooling. You'll work on a diverse set of challenges—from distributed systems and network protocols to simulation and diagnostic tools—contributing to products that power cutting-edge AI and HPC infrastructure. You'll work in an AI-first development environment, leveraging cutting-edge tooling to maximize productivity and impact.

Key Responsibilities

• Fabric Management Development: Design, implement, and maintain fabric management software components including topology management, routing protocols, and control plane services
• Tools and Infrastructure: Develop and enhance fast fabric tools, diagnostic utilities, and operational tooling for fabric deployment and management
• Simulation and Testing: Contribute to fabric simulation infrastructure for validation, testing, and performance analysis
• Distributed Systems: Build reliable, scalable distributed systems for managing large-scale fabric deployments
• Performance Optimization: Profile and optimize fabric management software for latency, scalability, and resource efficiency
• Code Quality: Write clean, maintainable code with comprehensive unit and integration tests; participate in code reviews
• Customer Support: Contribute to customer issue resolution and technical support when needed
• Cross-Functional Collaboration: Work closely with hardware, firmware, and platform teams to integrate fabric management with switch platforms
• Maintenance and Improvement: Maintain and improve existing codebase, addressing technical debt and enhancing reliability
• AI-First Development: Leverage AI coding assistants and emerging tooling to accelerate development velocity and code quality

Minimum Qualifications

• BS in Computer Science, Computer Engineering, or related field
• 5-7 years of software engineering experience
• Strong proficiency in C/C++ and Python
• Linux systems programming experience
• Network protocol implementation or distributed systems experience
• Strong debugging and problem-solving skills for complex systems
• Excellent communication and collaboration skills
• Commitment to AI-first development practices and continuous learning of emerging AI tooling

Preferred Qualifications

• Kubernetes development experience (CNI, device plugins, operators) - strongly preferred
• Go/Golang proficiency
• Experience with fabric routing protocols, topology management, or distributed control planes
• InfiniBand, Omni-Path, or high-speed interconnect protocol knowledge
• HPC fabric management or cluster management experience
• Network simulation or modeling experience
• Performance optimization and profiling experience
• Open-source contribution history
• Technical leadership or mentoring experience
• Experience with AI-assisted development tools (GitHub Copilot, Cursor, or similar)
• Familiarity with test automation frameworks and CI/CD systems

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.