Senior Cloud AI Infrastructure Engineer (Equity)

NVIDIA Corporation

Town of Montana (WI)

On-site

USD 152,000 - 288,000

Full time

3 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA seeks a Senior Distributed Software Engineer to advance backend AI infrastructure services. You will build scalable, resilient systems for AI workloads, focusing on microservices, orchestration with Kubernetes, and integration with NVIDIA resiliency stacks.

The role requires strong backend skills, experience with cloud platforms, and a track record of scaling large distributed systems.

Qualifications

  • Bachelor's degree in Computer Science or related field or equivalent experience.
  • 5+ years of backend development experience.
  • Proven track record in building and scaling large-scale distributed systems.
  • Experience with AWS, Azure, and GCP; Docker/Kubernetes; HPC/AI platforms such as Slurm.

Responsibilities

  • Develop backend services and infrastructure for AI platforms and workflows.
  • Design, implement, and optimize microservices orchestrated by Kubernetes for large-scale training tasks.
  • Co-design APIs to integrate with NVIDIA resiliency stacks and telemetry services.
  • Enable model training submission lifecycles with fault tolerance and auto-restarts.
  • Build modular services deployable on on-prem clusters using NVIDIA hardware.

Skills

Backend development
Python
Go
C/C++
Distributed systems
Cloud platforms

Education

Bachelor's degree in CS

Tools

Docker
Kubernetes
Slurm
Git

Job description

NVIDIA Corporation in Santa Clara, CA seeks a Senior Distributed Software Engineer to advance backend AI infrastructure services. You will build scalable, resilient systems for AI workloads, focusing on microservices, orchestration with Kubernetes, and integration with NVIDIA resiliency stacks.

The role requires strong backend skills, experience with cloud platforms, and a track record of scaling large distributed systems.

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