ML Ops DSX Senior Engineer
Core
Senior engineer delivering hands-on technical assistance for advanced AI deployments, distributed systems, and MLOps pipelines on NVIDIA's AI platform to ensure efficient performance for strategic customers.
Role type
Senior IC ML Infrastructure/Solutions Engineer
Builds
Custom AI solutions, MLOps pipelines, and distributed training/inference workloads on NCP and Neo Cloud platforms
Domain
AI Infrastructure / Cloud Computing / GPU Systems
Deliverable
production ML models
Required skills
Linux systems, distributed computing, Kubernetes, containers, GPU scheduling, Python, Go, PyTorch, TensorFlow, MLOps, observability, infrastructure as code
Preferred skills
NVIDIA ecosystem (DGX, CUDA, NeMo, Triton, NIM, InfiniBand, RoCE), hyperscale CSP collaboration, GitOps, Terraform, Ansible
Responsibilities
Build and deploy custom AI solutions on NCP/Neo Cloud; act as main technical contact for strategic NCPs; deploy and manage AI workloads across DGX Cloud and CSPs; profile and tune large-scale training/inference workloads; implement NVIDIA reference architectures and partner integrations; build implementation guides and runbooks
Seniority
Senior, hands-on IC
