Remote Vp Product Cloud Inference Jobs

Drive continuous improvement in helpdesk and IT services to maximize productivity.

Model and govern gross margin, including inference, cloud, and model-vendor costs.

open source and commercial CV inference engine, keeping it healthy and high-quality as contribution volume scales.

: GCP (Cloud Run, Cloud SQL, Pub/Sub, Cloud Functions) DevOps: Docker, CI/CD pipelines, GitHub Actions

Nice to Have Background at an inference provider, AI lab, neo-cloud, or GPU cloud, or building infrastructure for model serving

Solve complex problems that span backend systems, cloud infrastructure, security, and AI inference, where conventional SaaS patterns are often not

and unlock entirely new product experiences.

Production experience with Kubernetes, CI/CD and cloud infrastructure.

Inferact's mission is to grow vLLM as the world's AI inference engine and accelerate AI progress by making inference cheaper and faster.

This is a Staff-Level role reporting directly to the VP of Product.

Knowledge of cloud security (e.g., Google Cloud, AWS, Azure) is a plus. Google SecOps or Microsoft Sentinel a strong plus.

Production ML pipelines and feature datasets feeding model training and inference.

Comfort with Kubernetes, containers and a major cloud (we're mostly GCP), plus infrastructure-as-code.

You will build and operate production inference pipelines, evaluate model performance against labeled data, and use model feedback to decide which imagery should

Model distillation, quantization, and portable inference. Moss’s Rust runtime and SDKs across cloud and on-device environments.