Lightning AI

Technical Program Manager

• Drive execution across multiple infrastructure programs, including network builds and upgrades, storage initiatives, datacenter builds and expansions, and hardware/platform rollouts
• Own program planning, milestone definition, and dependency management across parallel workstreams
• Partner with Infra Engineering, Network, DC Operations, Hardware, Security, and Platform teams to align scope, timelines, and delivery
• Coordinate execution across initiatives such as:
• Network expansions, upgrades, and large-scale migrations
• Datacenter expansions and capacity growth
• Hardware bring-up and infrastructure readiness
• Next-generation platform rollouts (e.g. new GPU architectures), ensuring end-to-end readiness across infrastructure layers
• Drive cross-functional alignment to ensure infrastructure is ready for deployment, bring-up, and customer usage
• Manage risks, blockers, and dependencies across engineering and operations teams
• Provide clear, concise program updates to leadership, highlighting progress, risks, and mitigation plans
• Operate effectively in a fast-moving, ambiguous environment with shifting priorities
• Contribute to improving execution frameworks, tooling, and program visibility across the infrastructure organization

Senior Technical Program Manager

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 Technical Program Manager

Senior Network Engineer

Infrastructure Operations Engineer

Infrastructure Engineer, Storage

Infrastructure Engineer, Observability

Infrastructure Engineer, GPU & Compute