Senior AI Productivity Engineer

About this role

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 a Senior AI Productivity Engineer to help shape how our engineering organization uses AI to design, develop, validate, and support advanced networking products.

This is an emerging role at the intersection of software engineering, developer platforms, infrastructure, workflow automation, and applied AI. You will help build and expand a private, secure AI platform for our engineering organization, including a growing workforce of AI agents that automate meaningful engineering work.

These capabilities will support engineers working across:

• Software development
• Linux kernel drivers
• Firmware
• Embedded systems
• ASIC development
• Hardware/software integration
• Validation
• High-performance networking

Cornelis Networks has already invested in a working AI platform and initial agent capabilities. You will help take that foundation further by designing, implementing, operating, and continuously improving the tools that enable our engineers to work more effectively.

This is a rare opportunity to help define the future of engineering!
The final solution does not yet exist. You will have the opportunity to experiment, learn from results, improve solutions b...