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# Solution Architect, MLOps - AI Factory

- **Company:** NVIDIA Corporation
- **Location:** Valbonne, France (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Machine Learning, Software Architecture, Software Engineering, Supercomputing, Web Platforms, Pytorch, Deep Learning, Kubernetes, Machine Learning Operations
- **Published:** October 6, 2026
- **Apply:** https://startup.jobs/senior-solution-architect-mlops-ai-factory-2100-nvidia-usa-10300016

## About the Role

* B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
 * 5+ years in software development or ML engineering.
 * Extensive ability to solve problems within the customer infrastructure.
 * Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform.
 * Experience working with containers and MLOps tools.
 * Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.
 * Capable of working in a constantly evolving environment without losing focus.
 * Committed with strong analytical and problem solving skills.
 * Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.

Ways To Stand Out From The Crowd:

 * Technical knowledge of developer digital platforms and their trends.
 * Experience working with Nvidia operators.
 * Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations.
 * Background in deploying large-scale multi-node training and inferencing pipelines.
 * Good presentation skills

## Description

* Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
 * Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
 * Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.
 * Support Development activities and engage in POCs/POVs to validate new features, and architectures.
 * Develop solutions and showcase the AI ecosystem.