Design, deploy, and maintain high-performance network infrastructures for HPC environments with a focus on InfiniBand fabrics.
Troubleshoot complex network issues across InfiniBand and Ethernet, manage Fortinet solutions, and perform performance tuning.
Collaborate with compute, storage, and platform teams to support HPC workloads and document network architecture and procedures.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable infrastructure for modern AI, machine learning, and data-intensive applications. Mirantis serves many of the world’s leading enterprises including Adobe, DocuSign, PayPal, and Volkswagen, fostering a collaborative and innovative work environment.
Design and execute performance benchmarks for AI training and inference workloads.
Profile and characterize GPU workloads to identify bottlenecks and optimization opportunities.
Systematically tune workload parameters to maximize throughput and establish performance baselines across GPU platforms.
Vultr provides high-performance, affordable cloud infrastructure for enterprises and AI innovators with 33 global data centers. It is the world's largest privately-held cloud infrastructure company, valued at $3.5 billion, with a culture focused on growth and innovation.
Own performance optimization and reliability of large-scale GPU clusters and InfiniBand networking for HPC workloads.
Diagnose and resolve complex system-level issues across GPU, network, and compute layers, integrating new hardware components.
Develop automation for monitoring, fault detection, and proactive remediation in distributed compute environments.
Our partner is building a next-generation AI cloud infrastructure environment, focusing on large-scale high-performance computing systems. They foster a highly technical engineering culture with experts across systems, networking, and virtualization, offering career development and continuous learning opportunities.
Lead core infrastructure and SRE teams to ensure the highest reliability and performance for massive GPU computing demands.
Oversee HPC networking and distributed storage engine innovation to support massive multi-node AI workloads.
Build and scale a high-output engineering org while partnering cross-functionally with product and GTM leadership.
Runpod is the AI Developer Cloud, providing a platform for over one million developers to experiment, train, fine-tune, deploy, and scale AI. As a small, remote-first team that closed a $100M Series A, we move fast and take ownership seriously.
Support deployment, configuration, and maintenance of InfiniBand and Ethernet network infrastructure.
Troubleshoot network issues including connectivity, latency, and performance degradation.
Collaborate with compute and storage teams to support HPC and AI workloads.
Mirantis is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. Serving leading enterprises like Adobe, PayPal, and Volkswagen, the company fosters a culture of open standards and engineering excellence.
Lead engineering deployment, scaling, and operations of AI compute clusters with GPU fleets and bare metal environments.
Drive reliability, monitoring, automation, and incident response for AI infrastructure.
Collaborate with AI/ML, networking, and product teams to align infrastructure with business needs.
Our partner is a fast-growing cloud environment focused on building large-scale AI infrastructure. They seek a senior leader to manage engineering operations for advanced AI compute clusters.