Senior Cloud Platform Software Engineer

at Nvidia
📍 Seattle, United States
USD 224,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Kubernetes @ 4 IaC @ 4 Networking @ 4 GPU @ 4

Details

NVIDIA is building a cloud offering for AI workloads (DGX Cloud) and seeks a Cloud Platform Engineer to drive technical design and build foundational elements of high-performing cloud services for AI and high-performance computing. This is an opportunity to be a founding member of a team working at the intersection of scalable, fault-tolerant cloud services and AI.

Responsibilities

  • Build and design platforms for DGX Cloud services as part of the service team.
  • Combine HPC and Kubernetes best practices to help create a unified platform.
  • Collaborate with software engineers, product teams, and engineering teams across NVIDIA on DGX Cloud AI Compute services.
  • Write Infrastructure as Code (IaC), work on Kubernetes, and help design and implement release pipelines.
  • Collaborate on using GitOps and Pipelines effectively.

Requirements

  • BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience.
  • Solid technical foundation in distributed computing and storage, including substantial experience with server systems, storage, I/O, networking, and system software.
  • 12+ years of platform engineering experience on large-scale production systems.
  • Kubernetes and IaC expertise as an engineer (experience with Kubernetes concepts such as Pod Disruption Budgets is called out).
  • Ability to understand and communicate complex designs, distributed infrastructure, and requirements to peers, customers, and vendors.
  • General shared storage knowledge such as NFS, LustreFS, GlusterFS.
  • Familiarity with system-level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped I/O.

Ways to stand out / Preferred

  • Proven experience in high-performance computing (HPC), Deep Learning, and/or GPU-accelerated computing domains.
  • Large-scale distributed system, HPC, ML and training experience with Slurm and Kubernetes.
  • Deep knowledge of both software and hardware in HPC and ML infrastructure.

Compensation & Benefits

  • Base salary range: 224,000 USD - 356,500 USD (will be determined based on location, experience, and pay of employees in similar positions).
  • Eligible for equity and benefits (link to NVIDIA benefits provided in original posting).

Additional Information

  • Applications accepted at least until September 22, 2025.
  • NVIDIA is an equal opportunity employer and committed to fostering a diverse work environment.