Senior System Software Engineer – Kubernetes Fabric Integration

🔥 16 minutes ago

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Cornelis Networks

WebsiteLinkedInAll Job Openings

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

• Design robust, scalable solutions integrating Cornelis Networks’ platform and fabric management software with Kubernetes • Build and maintain custom Kubernetes Operators and Controllers in Go • Develop cloud-native orchestration for high-performance fabric services and platform management tools alongside containerized workloads • Develop end-to-end automated validation frameworks to stress-test the product • Extend Kubernetes to manage specialized hardware, scheduling, and networking requirements for HPC and AI workloads • Collaborate with core platform, fabric, and hardware teams on cohesive end-to-end solutions • Contribute to relevant open-source projects in the cloud-native ecosystem • Author technical documentation and champion cloud-native software development best practices • Leverage AI-powered tools for code generation, refactoring, and performance optimization • Apply AI-driven techniques for automated code review, testing, and quality assurance

🎯 Requirements

• 5+ years of professional software development experience • Experience designing and developing Kubernetes solutions, including custom Operators/Controllers using Operator SDK or Kubebuilder • Expert-level proficiency in Go for systems programming • Experience with C++ or Python is valuable • Knowledge of multithreaded programming • Deep understanding of Kubernetes architecture, including control plane, CNI networking, and CSI storage interfaces • Hands-on experience with Docker or containerd • Experience integrating existing software platforms or services with Kubernetes • Understanding of high-performance data center networking environments • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field • Experience with HPC or high-performance networking • Familiarity with performance-sensitive, low-latency application environments • Experience with Prometheus, Grafana, and Fluentd • Knowledge of CI/CD principles and deployment pipelines • Contributions to Kubernetes or cloud-native open-source projects

🏖️ Benefits

• Performance incentives • Equity participation • Additional benefits depending on geographic location • Paid holidays depending on geographic location • Flexible work arrangements depending on geographic location