
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 1 minute ago
🏄 California – Remote
💵 $248k - $391k / year
⏰ Full Time
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Set the technical direction for NVIDIA's global Developer Compute platform • Architect and build services that provision, stream, secure, and operate cloud-hosted compute environments at global scale across AWS and Azure • Lead end-to-end architecture contributions for 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
• 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 • 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 • Excellent communication skills and a proven track record to influence technical direction across teams and organizations • Experience building platforms for AI agents, sandboxed execution, or computer-use agents that operate 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 • Willingness to contribute to a high-trust, collaborative culture
• Equity • Benefits • Inclusive work environment • Equal opportunity employment
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