Software Engineer

Cornelis Networks delivers the world’s highest performance scale-out networking solutions for AI and HPC datacenters. Our differentiated architecture seamlessly integrates hardware,softwareand system level technologies to maximize the efficiency of GPU,CPUand accelerator-basedcomputeclusters 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,performanceand 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 our Network Operating System team to build and optimize NOS platforms supporting both SONiC and FBOSS for Cornelis Networks' next-generation switch ASIC platforms. This role combines deep platform integration work—including hardware bring-up, BSP development, and ASIC driver integration—with NOS control plane and data plane development. You'll work collaboratively with hardware, firmware, and SAI/SDK teams to deliver high-performance, production-ready network operating systems. You'll work in an AI-first development environment, leveraging cutting-edge tooling to maximize productivity and impact. Key Responsibilities NOS Platform Integration:Lead platform porting and BSP development for switch ASIC platforms, including hardware bring-up, driver integration, and platform-specific adaptations Hardware Integration:Integrate and validate ASIC drivers, optics/transceiver management, thermal/power management, and BMC/baseboard interfaces Multi-NOS Support:Design platform abstractions and implementations to support both SONiC and FBOSS architectures NOS Development:Design and implement control plane and data plane components for SONiC and FBOSS, ensuring seamless operation with underlying hardware Platform Services:Develop and maintain platform services and daemons for hardware monitoring, configuration, and management SAI/SDK Integration:Collaborate with SAI/SDK team to integrate switch abstraction layer with SONiC and FBOSS architectures Test Infrastructure:Build and maintain test frameworks, automation, and CI/CD pipelines for NOS platform validation; write comprehensive unit and integration tests Performance Optimization:Profile and optimize NOS performance for latency, throughput, and resource utilization Open Source Collaboration:Engage with the SONiC and FBOSS open-source communities, contribute improvements where applicable, and stay current with upstream developments Technical Collaboration:Work closely with hardware, firmware, and systems teams to resolve integration issues and define platform requirements 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 7-10 years of software engineering experience Strong proficiency in C/C++ and Python Linux systems programming and networking stack experience Switch/networking hardware experience OR network operating system development experience Strong debugging and problem-solving skills for complex hardware/software integration issues Excellent communication and collaboration skills Commitment to AI-first development practices and continuous learning of emerging AI tooling Preferred Qualifications SONiC platform development experience (strongly preferred) FBOSS experience (highly desirable) Linux kernel and driver development experience Network protocol implementation experience (L2/L3 switching, routing, BGP, OSPF) Switch ASIC/SDK integration experience Experience with platform services and daemons (SONiC platform daemons, FBOSS agents, or similar) Hardware/ASIC architecture understanding Performance optimization and profiling experience (perf, gprof, valgrind, etc.) Open-source contribution history (SONiC, FBOSS, or other networking projects) Technical leadership and mentoring experience Experience with AI-assisted development tools (GitHub Copilot, Cursor, or similar) Familiarity with test automation frameworks and CI/CD systems Experience with platform bring-up, BSP development, or embedded Linux systems Location :This is a remote position for employees residing in the United States. 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.