Cornelis Networks
51 - 200 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
💰 $29M Series B on 2022-11
Artificial Intelligence • Hardware • Enterprise
Cornelis Networks is a leading provider of intelligent, scalable, high-performance interconnects designed for AI applications. The company specializes in delivering end-to-end purpose-built high-performance fabrics to commercial, scientific, academic, and government organizations. Cornelis Networks’ solutions are aimed at enhancing performance, scalability, and efficiency across hyperscale, cloud AI, and on-premises AI/HPC environments. Their offerings are known for scalable architecture, high bandwidth solutions, and universal compatibility with accelerators and GPUs. Originating as an Intel spin-off, the company is positioned to challenge existing technologies like InfiniBand and Ethernet, providing advanced interconnects that power modern AI infrastructure.
AI Platform Engineer
🕒 July 31
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Cornelis Networks
51 - 200 employees
🤖 Artificial Intelligence
🔧 Hardware
🏢 Enterprise
💰 $29M Series B on 2022-11
Artificial Intelligence • Hardware • Enterprise
Cornelis Networks is a leading provider of intelligent, scalable, high-performance interconnects designed for AI applications. The company specializes in delivering end-to-end purpose-built high-performance fabrics to commercial, scientific, academic, and government organizations. Cornelis Networks’ solutions are aimed at enhancing performance, scalability, and efficiency across hyperscale, cloud AI, and on-premises AI/HPC environments. Their offerings are known for scalable architecture, high bandwidth solutions, and universal compatibility with accelerators and GPUs. Originating as an Intel spin-off, the company is positioned to challenge existing technologies like InfiniBand and Ethernet, providing advanced interconnects that power modern AI infrastructure.
📋 Description
• Own the configuration, tooling, and infrastructure for a private AI assistant for engineers • Design, implement, and improve a workforce of autonomous agents that automate engineering operations • Take agents from concept to production with API and chat integration • Maintain platform reliability across various technologies and tools • Author and tune workflows for deep engineering work • Build and maintain automated validation pipelines • Manage platform cost and performance • Track the AI tooling landscape and keep platform current
🎯 Requirements
• B.S. or M.S. in Computer Science, Engineering, or a related discipline, or equivalent practical experience • Experience building software, applications, scripts, or services in Python or a comparable general-purpose programming language • Familiarity with software development fundamentals, including version control, testing, debugging, and code review • Practical experience developing, deploying, operating, or troubleshooting software in a Linux environment • Hands-on experience implementing, integrating, extending, or operating Model Context Protocol (MCP) • Ability to explain application of MCP in connecting AI systems to tools or external systems • Hands-on experience building an AI agent or LLM-powered workflow that performs meaningful work • Experience building or integrating a Retrieval-Augmented Generation (RAG) workflow
🏖️ Benefits
• medical, dental, and vision coverage • disability and life insurance • dependent care flexible spending account • accidental injury insurance • pet insurance • generous paid holidays • 401(k) with company match • Open Time Off (OTO) for regular full-time exempt employees • sick time • bonding leave • pregnancy disability leave
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