Senior Software Engineer - SAI/SDK

Cornelis Networks, Inc.

3d•Remote

About The Position

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' growing SAI/SDK team to drive the development of our next-generation switch ASIC platform. Partner with our Principal Engineer on architecture and implementation, taking ownership of key subsystems to accelerate product delivery. This role combines deep technical work on Switch Abstraction Interface (SAI) and SDK implementation with test infrastructure development, supporting both traditional Ethernet and high-speed interconnect protocols. You'll work in an AI-first development environment, leveraging cutting-edge tooling to maximize productivity and impact. This position offers the opportunity to work on cutting-edge switch ASIC technology in a fast-paced, innovation-driven environment. You'll have significant technical ownership, collaborate with world-class engineers, and contribute to products that power high-performance computing and AI infrastructure. Cornelis Networks is committed to AI-first development practices, providing engineers with the best tools and workflows to maximize impact and career growth.

Requirements

BS in Computer Science, Computer Engineering, or related field
7-10 years of software engineering experience
Strong proficiency in C/C++ with deep understanding of systems programming
Hands-on experience with switch ASIC/SDK development (Broadcom, Marvell, Intel, or similar platforms)
Linux systems programming experience, including kernel interfaces and driver development
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

Nice To Haves

SAI (Switch Abstraction Interface) implementation experience
SONiC or other network operating system platform integration experience
Network protocol implementation experience (L2/L3 switching, routing)
High-speed interconnect protocol knowledge
Hardware/ASIC architecture understanding
Performance optimization and profiling experience (perf, gprof, valgrind, etc.)
Open-source contribution history
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

Responsibilities

SAI Implementation: Design and implement SAI object types and APIs for switch ASIC platforms, supporting multiple operational modes and architectures
SDK Development: Develop and maintain switch SDK components, including low-level ASIC drivers, control plane interfaces, and hardware abstraction layers
NOS Integration: Integrate SAI/SDK with SONiC and other network operating system platforms, ensuring seamless interoperability
Test Infrastructure: Build and maintain test frameworks, harnesses, and CI/CD pipelines for SAI/SDK validation; write comprehensive unit and integration tests
Performance Optimization: Profile and optimize SAI/SDK performance for latency, throughput, and resource utilization
Technical Collaboration: Work closely with hardware, firmware, and systems teams to define ASIC requirements and resolve integration issues
Code Quality: Conduct code reviews, mentor junior engineers, and establish best practices for SAI/SDK development
AI-First Development: Leverage AI coding assistants and emerging tooling to accelerate development velocity and code quality