AI hardware-software platform for enterprise GPU workloads
Voltage Park operates an integrated AI platform combining specialized hardware and software infrastructure. The tech stack reveals a production-heavy operational footprint: NVIDIA GPUs, Kubernetes, Prometheus/Grafana observability, Kafka messaging, and HPC orchestration—a shape consistent with managing on-premise or hybrid GPU clusters at scale. Hiring velocity is accelerating with 13 roles posted in the last 30 days, heavily weighted toward operations (12 roles), signaling rapid scaling of installation, deployment, and customer support functions.
Voltage Park builds a combined hardware and software platform designed to reduce friction in enterprise AI deployments. The product targets companies seeking to avoid vendor lock-in, manage data privacy internally, and bypass steep learning curves associated with cloud-dependent AI infrastructure. The company operates from San Francisco with 51–200 employees. Project work spans installation standardization, observability platform design, contract lifecycle management, and vendor coordination—activities consistent with a hardware-software hybrid business serving data center and enterprise customers. Current pain points center on scaling operational capacity, improving alerting reliability, and streamlining sales cycles.
NVIDIA GPUs, NVIDIA TPUs, PyTorch/PyTorch Lightning, Kubernetes, Kafka, HPC orchestration, and InfiniBand networking. Monitoring and observability built on Prometheus, Grafana, Elasticsearch, and VictoriaMetrics.
San Francisco, California. All current hiring is in the United States.
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Voltage Park's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.