Senior AI Infrastructure Engineer - ML Ops & Cloud

Salesonaut; Santa Clara (CA); Vor Ort; USD 184.000 - 288.000; Vollzeit

Benefits dieser Stelle

Equity

Benefits package

Zusammenfassung

NVIDIA is seeking an NCX Senior Engineer to join the DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments.

Responsibilities include building custom AI solutions on NCP/Neo Cloud, guiding partner engineering teams, and optimizing workloads

Qualifikationen

• BS, MS, or Ph.D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or equivalent experience.
• 8+ years of experience in customer facing technical roles such as Solutions Engineering, DevOps, Site Reliability, or ML Infrastructure Engineering, ideally supporting large-scale cloud or service provider environments.
• Strong expertise in Linux systems, distributed computing, Kubernetes, containers, and GPU scheduling on multi-tenant or service-provider platforms.
• Demonstrated AI/ML experience supporting large-scale training and inference workloads (e.g., LLMs, generative models, recommendation systems) in production or critically important environments.
• Solid programming skills in Python/Go, with hands-on experience using frameworks such as PyTorch or TensorFlow for training and serving.
• Demonstrated capability to collaborate with customer and partner engineering teams in fast-paced environments, guide intricate technical investigations, and bring issues to root cause and resolution.
• Excellent communication and technical presentation skills, with the ability to clearly articulate architectures, trade-offs, and recommendations to both engineering and leadership audiences.

Aufgaben

• Build and deploy custom AI solutions on NCP and Neo Cloud platforms, including distributed training, inference optimization, and MLOps pipelines constructed on NVIDIA reference architectures.
• Act as the main technical contact for strategic NCPs, offer remote and on-site support, troubleshoot complex production problems, and guide partner engineering teams on NVIDIA platform guidelines.
• Deploy and manage AI workloads across DGX Cloud, NCP data centers, and major CSP environments using Kubernetes, containers, and GPU scheduling systems aligned to NCP builds.
• Profile and tune large-scale training and inference workloads on NCP platforms. Implement observability and SLO/SLA monitoring. Lead detailed efforts to reduce latency, cost, and operational risk.
• Implement and expand NVIDIA reference architectures on partner platforms, develop integrations with partner control planes and customer environments, and ensure smooth API, data pipeline, and enterprise software connectivity.
• Build detailed implementation guides, runbooks, and post-mortem documentation that codify standard methodologies for running NVIDIA AI workloads at scale on NCP platforms.

Kenntnisse

Python

Go

Kubernetes

Linux

Distributed systems

PyTorch

TensorFlow

GPU scheduling

Cloud experience

Communication skills

Ausbildung

BS/MS/PhD in CS or related field

Tools

Terraform

Ansible

Prometheus

Grafana

OpenTelemetry

GitOps

Jobbeschreibung

NVIDIA is seeking an NCX Senior Engineer to join the DSX team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads. You will deliver hands-on technical assistance for advanced AI deployments, distributed systems, and ensure customers realize efficient performance from NVIDIA's AI platform across varied environments.

Responsibilities include building custom AI solutions on NCP/Neo Cloud, guiding partner engineering teams, and optimizing workloads