ML Systems Engineer - Distributed AI & GPU
Listed on 2026-11-04
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
NVIDIA is seeking a talented Machine Learning Engineer to drive end-to-end lifecycle management of AI-powered systems across distributed infrastructure. You will deploy and scale models, manage GPU orchestration, and build automated testing and CI/CD pipelines using Git Lab.
The role demands strong Python engineering skills, experience with Kubernetes, Ray, Slurm, and ML frameworks, and a track record of delivering production-grade AI workflows at scale in a fast-paced environment.
The ML Systems Engineer
- Distributed AI & GPU position in the IT & Technology, Engineering field is open for applications.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the ML Systems Engineer
- Distributed AI & GPU role in the description above.
We appreciate your interest in this position.
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