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The Lead Systems HPC Engineer will optimize GPU clusters' performance, troubleshoot issues, integrate new hardware, and collaborate with teams on system-level software development.

Design and implement embedded firmware and low-level software for server BMCs and GPU/HPC platforms. Enhance OpenBMC, enable real-time telemetry of power/thermal sensors, debug low-level drivers and interfaces, validate hardware-firmware integration, and contribute to long-term firmware architecture for cluster reliability.

Design and build systems for managing bare-metal infrastructure, focusing on automation, hardware provisioning, and software integration with Linux systems.

Build and operate the network platform: set SLIs/SLOs, drive reliability improvements, own incident response and postmortems, develop observability and safer change workflows, automate operations, and collaborate with network and platform teams to embed operability.

Build and maintain reliable, fault-tolerant platforms and tooling for data center hardware infrastructure. Automate operations with scripting and CI/CD, troubleshoot hardware/software/network issues, and optimize system performance to support large-scale GPU and AI workloads.

Build and maintain services and tooling to automate and secure network lifecycle across data centers. Implement CI/CD, staged rollouts, drift detection, observability pipelines, and APIs that integrate network source-of-truth with the cloud platform. Collaborate with network engineers and SREs to turn operational pain into production-grade automation and tooling.

Manage IT infrastructure projects and changes in data centers, focusing on GPU clusters, operational activities, stakeholder communication, and technical problem-solving.

Build and operate a managed PostgreSQL service for AI workloads: develop control plane and lifecycle automation in Go, tune PostgreSQL internals and ecosystem tooling, create migration tooling, integrate vector search, run SRE practices (SLOs, observability, incident response), and work directly with customers on architecture and escalations.

Manage IT support operations in data center, oversee GPU clusters, resolve incidents, and lead support teams to ensure operational efficiency.

As a Senior Support Engineer, you will troubleshoot complex issues in cloud environments, focusing on Linux and Kubernetes, and assist customers with AI workloads. You will also improve internal tools and processes while communicating effectively with clients during incidents.