Description

NVIDIA is hiring a Senior MLOps Engineer for its DSX Enablement team to build and deploy AI solutions on NeoCloud and NVIDIA Cloud Partner platforms, optimize distributed training and inference workloads, support customers and partners on DGX Cloud, and develop open-source tools and reference architectures. The role requires a technical degree or equivalent experience, at least 8 years of relevant experience, strong systems and programming skills, and familiarity with machine learning frameworks, MLOps practices, and NVIDIA ecosystem technologies.

Required Skills

MLOps pipelines
Distributed training
Inference optimization
Kubernetes
Python
C++
CUDA
NeMo
RAPIDS
Triton

Additional Information

Minimum Education: Bachelor's, master's, or Ph.D. degree in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience
Required Previous Experiences: 8+ years of experience in data science, data engineering, or ML engineering, ideally targeting large-scale production systems
Experience across multiple phases of the machine learning lifecycle, from exploratory analysis to production systems
Experience using machine learning or deep learning frameworks for training and inference
Experience contributing to and working in open-source communities
Experience with the NVIDIA ecosystem, including DGX systems, CUDA, NeMo, RAPIDS, Triton, NIM, and NVIDIA networking technologies
Experience building machine learning systems in a security-critical environment and distributed training and inference frameworks
Familiarity with MLOps practices in a cloud-native context, including containerization, CI/CD pipelines, workflow automation, observability stacks, and GitOps workflows
Direct experience diagnosing and fixing performance or correctness problems across hardware, networking, accelerators, hypervisors, operating systems, compilers, runtimes, application code, and libraries
Preferred Qualifications: Systems knowledge including Linux, batch schedulers, Kubernetes, distributed filesystems, and advanced datacenter networking
Scripting and programming skills in Bash, Python, C++, Go, or Rust
Excellent communication and technical presentation skills
Engineering discipline and execution on interesting projects
Translation Company Name: NVIDIA

About NVIDIA

NVIDIA

mise en réseauSanta Clara, CA, US10001+

We create the world’s fastest supercomputer and largest gaming platform.

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Senior MLOps Engineer - DSX Enablement at NVIDIA

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