Nvidia

Nvidia

Principal Software Engineer, Developer Compute Platform

US, CA, Remote · Principal

Sponsorship not specifiedDetected 2 days ago
AWSAzureAgentic AIZero TrustCommunication

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 399 green-card filings in this occupation, 96% were for a worker who already held the job.

Green-card follow-through: 95%

Of 584 labor certifications old enough to have been used, 29 expired without the employer filing the next step. Median time from filing to decision: 497 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

620 transfer filings in the last year, covering 1241 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • These environments serve both AI agents and the people who work alongside them.
  • This role is for a hands-on technical leader who wants to define how agents and people get compute at the frontier of AI!
  • Driving the desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for both GPU-accelerated and general-purpose workloads.

Responsibilities

  • You will architect and build the services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure.
  • You will partner with engineering, IT, and security leaders across NVIDIA to turn AI and end-user workflows into reliable, high-performance platform capabilities.
  • Leading contributions to the end-to-end architecture of NVIDIA's AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment.
  • Developing distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions.
  • Experience building platforms for AI agents, sandboxed execution, or computer-use agents that operate in full desktop environments.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • 15+ years of experience in software, platform, infrastructure, or cloud engineering, including architecting, developing, and deploying global cloud compute infrastructure.
  • Deep, hands-on experience with AWS and/or Azure compute, networking, identity, and storage services, such as EC2, VPC, Azure VMs, VNets, and Entra ID.
  • Experience with AI-native development and coding agents to multiply developer efficiency.
  • Experience with GPU virtualization, such as NVIDIA vGPU, and GPU-accelerated virtual workstations.

Compensation

  • The base salary range is 248,000 USD - 391,000 USD.

Benefits

  • If you're creative and enjoy learning while having fun, then what are you waiting for?
  • You will also be eligible for equity and benefits.

Company info

  • Ways to stand out from the crowd:

This listing is sourced directly from Nvidia's careers page and normalized into a canonical job model.