Lightning AI

Network Engineer

• Design and deploy scalable spine/leaf network architectures for AI data centers
• Engineer high-performance Ethernet fabrics supporting GPU clusters and AI workloads
• Build and maintain EVPN/VXLAN, BGP, and high-speed routing environments
• Optimize east-west traffic flows for AI training and inference operations
• Support RoCE/RDMA networking and low-latency transport technologies
• Support backbone, DCI, WAN, and edge connectivity solutions.
• Collaborate with compute, storage, AI platform, and operations teams to deliver integrated infrastructure solutions
• Develop automation and Infrastructure-as-Code (IaC) solutions for network provisioning and operations
• Troubleshoot complex network, performance, and congestion issues across distributed environments
• Improve network observability, telemetry, and operational visibility

Senior Network Engineer

Infrastructure Engineer

• At the direction of the Manager of Infrastructure Operations, design, build, and roll out new platforms and patterns to minimize incidents and enable customer facing and internal features.
• Deploy updates and improvements to support both Voltage Park’s internal and end customer use cases.
• Collaborate with colleagues in Infrastructure Engineering, Network Operations, Customer Success and Software and Platform Development Teams.
• Participate in the on-call rotation which is evenly distributed across all team members in a primary / secondary pattern where you are primary then move to a secondary position.

Infrastructure Operations Engineer

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads
• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling
• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability
• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

Infrastructure Engineer, Storage

• Own and evolve a scalable observability platform spanning metrics, logs, traces, and events
• Drive the productization of observability capabilities for both internal teams and external customers
• Design multi-tenant observability systems with scoped access, RBAC, and customer-facing visibility
• Continuously improve observability systems to keep pace with rapid infrastructure buildouts
• Design and operate telemetry pipelines ingesting data from GPUs, CPUs, networking (Ethernet & InfiniBand), containers, APIs, and BMC/Redfish
• Build systems to correlate signals across infrastructure layers to enable faster debugging and root cause analysis
• Implement streaming and real-time data pipelines using tools such as Kafka, OTEL, Promtail, or similar
• Design and implement noise-resistant alerting systems to improve signal quality and reduce operational load
• Create dashboards and alerting for InfraOps, Engineering, and Customer Success teams
• Build automated insights and enable proactive detection, forecasting, and system health visibility at scale
• Contribute to broader infrastructure engineering projects beyond observability
• Partner with infrastructure and platform teams to embed observability into core systems and workflows
• Support large-scale, distributed systems across compute, networking, and storage environments
• Work closely with customer-facing teams to deliver external observability experiences
• Collaborate with engineering, operations, and support teams to improve system transparency and reliability
• Help define best practices for observability across the organization

Infrastructure Engineer, Observability

• Own and evolve systems for image management, deployment, and validation across bare-metal infrastructure
• Run and maintain test clusters used for system validation, diagnostics, and bring-up
• Validate firmware, drivers, and OS images across compute and GPU-enabled systems
• Support hardware qualification efforts for next-generation platforms
• Own GPU diagnostics and validation workflows across large-scale infrastructure
• Diagnose and resolve complex issues across GPUs, drivers, OS, and hardware layers
• Analyze system and GPU performance using tools such as NVIDIA DCGM
• Identify failure patterns and drive improvements in system stability and validation coverage
• Build and maintain automation for provisioning, validation, and system bring-up
• Develop Python-based tools and workflows to improve efficiency and reduce manual operational overhead
• Improve the reliability, repeatability, and scalability of image pipelines and validation systems
• Manage and operate Linux-based systems in production and validation environments
• Manage virtualization technology
• Support bare-metal provisioning workflows, including PXE and image-based systems
• Interface with hardware management systems (e.g., IPMI, Redfish) for monitoring and debugging
• Partner with Infrastructure, Hardware, and Data Center teams on system bring-up and validation
• Collaborate with platform and ML teams to ensure systems meet workload requirements
• Contribute to best practices for provisioning, diagnostics, and lifecycle management of infrastructure

Senior Network Engineer

Infrastructure Operations Engineer

Infrastructure Engineer, Storage

Infrastructure Engineer, Observability

Infrastructure Engineer, GPU & Compute