NCX Senior Engineer

Senior

$184,000 – $356,500

Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.

What this role is

NVIDIA is hiring a senior engineer to provide hands-on technical support for large-scale AI deployments on their cloud platforms, working directly with enterprise customers to optimize distributed training, inference, and MLOps infrastructure. This role suits experienced infrastructure engineers or solutions architects comfortable troubleshooting complex production systems and guiding customer teams on GPU-accelerated platforms.

Our summary, not NVIDIA’s wording. The full posting is on their site.

Skills this role names

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What they ask for

Required

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field, or equivalent experience
8+ years in customer-facing technical roles such as Solutions Engineering, DevOps, Site Reliability, or ML Infrastructure Engineering
Expertise in Linux systems, distributed computing, Kubernetes, containers, and GPU scheduling on multi-tenant platforms
Experience supporting large-scale AI/ML training and inference workloads in production environments
Programming proficiency in Python or Go with hands-on framework experience (PyTorch or TensorFlow)
Ability to collaborate with customer and partner engineering teams, lead technical investigations, and resolve issues
Strong communication and technical presentation skills

Nice to have

Experience with NVIDIA ecosystem tools (DGX, CUDA, NeMo, Triton, NIM, InfiniBand, RoCE)
Direct collaboration experience with NVIDIA Cloud Partners, hyperscalers, or managed AI platforms
Deep familiarity with MLOps, cloud-native practices, containerization, CI/CD pipelines, and observability tools
Background in infrastructure as code (Terraform, Ansible, or similar) for GPU cluster deployment