Overview
In this role you will design and deploy AI infrastructure solutions, guiding customers through production ML workloads and Open-source projects. You’ll optimize training and inference at scale on NVIDIA platforms, collaborating with cross-functional teams to deliver reliable, scalable AI pipelines. You’ll shape open-source tooling and reference architectures to simplify building and managing ML workloads. This position offers the chance to impact enterprise and partner AI initiatives across DGX Cloud and NCP ecosystems.
Verantwortungsbereiche
- Build and deploy custom AI solutions on NeoCloud and NVIDIA Cloud Partners (NCPs) enabling distributed training and MLOps pipelines
- Serve as primary technical contact for customers and partners, guiding engagements and ensuring success on DGX Cloud initiatives
- Collaborate with infrastructure software and accelerated frameworks teams to support AI applications
- Profile and optimize large-scale training and inference workloads on NCP platforms to reduce latency, cost, and risk
- Develop open-source tools and reference architectures for scalable ML workloads and pipelines
Zentrale Anforderungen
- 8+ years in data science, data engineering, or ML engineering for large-scale production systems
- Proficiency with Linux, batch schedulers, Kubernetes, distributed filesystems, and datacenter networking
- Strong scripting with Bash and Python; systems programming in C++, Go, or Rust
- Experience with ML/DL frameworks for training and inference
- Excellent written and verbal communication for technical audiences
- Track record of engineering discipline and execution, solo or in teams
- strong communication
- ability to articulate architectures and trade-offs
- collaboration with cross-functional teams
- Linux
- Kubernetes
- distributed filesystems
Senior MLOps Engineer - DSX Enablement in Heilbronn Arbeitgeber: NVIDIA
NVIDIA ist ein herausragender Arbeitgeber, der nicht nur wettbewerbsfähige Gehälter und umfassende Sozialleistungen bietet, sondern auch eine dynamische Arbeitskultur fördert, die Innovation und Zusammenarbeit in der Robotikbranche anregt. In dieser Schlüsselposition in der EMEA-Region haben Sie die Möglichkeit, ein leistungsstarkes Team zu leiten, strategische Beziehungen aufzubauen und bedeutende Wachstumschancen zu entwickeln, während Sie gleichzeitig von einem Umfeld profitieren, das persönliche und berufliche Weiterentwicklung unterstützt. Werden Sie Teil eines Unternehmens, das die Zukunft intelligenter Maschinen gestaltet und dabei auf eine positive Work-Life-Balance Wert legt.
