Senior Software Engineer, Cloud-Native Stack

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CAAustin, TXRedmond, WASeattle, WA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
4 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $175k
This role $236k
$100k most similar roles pay here $308k

This role pays more than 94% of similar roles. Most pay $149,875–$199,650 — the shaded band above. At the midpoint, this role pays about $236k versus about $175k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1150 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 912 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Senior Software Engineer, Cloud-Native Stack

Senior Software Engineer, Cloud-Native Stack – CSP Engagements joins the CSP Engagements team to focus on the cloud-native stack for multi-rack, multi-tenant AI/ML datacenters featuring GB200 and GB300 GPUs. This role involves defining customer workflows, prototyping stack enhancements, and debugging complex Kubernetes and Slurm issues including scheduler behavior, container runtime problems, and RDMA/IB fabric anomalies. The engineer will conduct architecture reviews, create reproducible testbeds using Helm, Ansible, and Terraform, and develop technical collateral like design docs and demo scripts. Required skills include source-level expertise in Kubernetes internals, Slurm federation, and integrating next-gen GPUs into containerized clusters. Candidates should possess experience with Go, Rust, C/C++, or Python, along with familiarity with CI/CD tools like GitHub Actions and Tekton, as well as observability tools such as Prometheus and OpenTelemetry to solve large-scale distributed systems challenges.

What does a Software Engineer earn in California?

Median $214000 from 830 postings across 69 companies.

See salary data

What you'll do

  • Debug complex multi-rack, multi-tenant cluster issues including scheduler behavior, container runtimes, and RDMA/IB fabric anomalies.
  • Prototype feature extensions for Kubernetes operators, Slurm plugins, and custom micro-services to expose new GPU capabilities.
  • Convert technical findings from architecture reviews into formal RFCs and upstream pull requests.
  • Create reproducible testbeds using Helm, Ansible, and Terraform that mirror specific customer environments.
  • Automate validation and benchmark suites for cloud-native infrastructure.
  • Produce technical collateral including design documents, how-to guides, and demo scripts for customer events.
  • Gather customer requirements to define workflows and influence the product roadmap.

What we're looking for

  • BS or MS in Computer Engineering, Computer Science, or a related field.
  • 10+ years of professional software development experience in distributed systems using Go, Rust, C/C++, or Python.
  • Source-level expertise in Kubernetes internals (scheduler, CRI/CNI/CSI, operators) and Slurm (federation, power-save, plugins).
  • Hands-on experience integrating next-generation GPUs or comparable accelerators into containerized clusters.
  • Proven track record debugging large-scale, cloud-native stacks across networking (RDMA/RoCE), storage, and control planes.
  • Customer-facing engineering or solutions-architect background including requirements gathering and PoC ownership.
  • Familiarity with CI/CD, observability tools, and infrastructure-as-code.
  • Upstream contributions to Kubernetes, Slurm, Volcano, or experience with GPU computing (CUDA) and deep learning workloads (preferred).

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