N

NVIDIA

Designs the chips and software that power AI

Principal Software Engineer - Developer Compute Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • At least 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.
  • Deep expertise in desktop streaming protocols such as Amazon DCV, PCoIP, or Omnissa Blast Extreme, including tuning for latency, bandwidth, and graphics performance.
  • Experience designing and operating end-user computing solutions such as Amazon WorkSpaces, Azure Virtual Desktop, Windows 365, Citrix, or Omnissa Horizon.
  • Experience with AI-native development and coding agents to improve developer efficiency.
  • Ability to communicate effectively and a track record of influencing technical direction across teams and organizations.

Responsibilities

  • Lead contributions to the end-to-end architecture of AI agent compute and virtual desktop platforms, from technical strategy and systems design through implementation, testing, and global deployment.
  • Develop distributed compute services that provision and manage secure, isolated agent environments and virtual desktops across multiple clouds, availability zones, and regions.
  • Drive desktop streaming strategy, including protocol architecture, performance tuning, and end-user experience for GPU-accelerated and general-purpose workloads.
  • Collaborate with engineering, IT, and security leaders to translate AI workflow and end-user compute requirements into a multi-year platform roadmap.

Desired Qualifications

  • Experience building platforms for AI agents, sandboxed execution, or computer-use agents operating in full desktop environments.
  • Experience with GPU virtualization, such as NVIDIA vGPU, and GPU-accelerated virtual workstations.
  • Thorough understanding of zero-trust architecture, container and VM security, and multi-tenant isolation.

About the Company

NVIDIA

Designs the chips and software that power AI

NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1993

Recently Posted Jobs

Explore more opportunities at NVIDIA

See more jobs