3 days ago
Base Salary
$248k - $391k/yr
Responsibilities
- Lead the end-to-end architecture and technical strategy for AI agent compute and virtual desktop platforms.
- Develop distributed services that provision and manage secure, isolated agent environments and virtual desktops across clouds, availability zones, and regions.
- Drive desktop-streaming protocol architecture, performance tuning, and end-user experience for GPU-accelerated and general-purpose workloads.
- Partner with engineering, IT, and security leaders to translate AI workflow and end-user compute requirements into a multi-year platform roadmap.
- Architect, implement, test, and globally deploy reliable cloud compute infrastructure.
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 architecture, development, and deployment of global cloud compute infrastructure.
- Deep hands-on experience with AWS and/or Azure compute, networking, identity, and storage services, including EC2, VPC, Azure VMs, VNets, and Entra ID.
- Deep expertise in desktop-streaming protocols such as Amazon DCV, PCoIP, or Omnissa Blast Extreme, including latency, bandwidth, and graphics-performance tuning.
- 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.
- Excellent communication skills and a proven ability to influence technical direction across teams and organizations.
- Preferred experience building platforms for AI agents, sandboxed execution, or computer-use agents in full desktop environments.
- Preferred experience with GPU virtualization, including NVIDIA vGPU and GPU-accelerated virtual workstations.
- Thorough understanding of zero-trust architecture, container and VM security, and multi-tenant isolation.
Benefits
- Eligible for equity and benefits.
- Base salary is determined by location, experience, and comparable employee pay.
- Applications will be accepted at least until October 23, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.