GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
2 days ago
🇺🇸 United States – Remote
🏄 California – Remote
💵 $148k - $276k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Design and build cloud services for managing, serving, and securing data for our accelerated computing initiatives. • Connect with other technical leaders across NVIDIA to ensure you use existing technologies where possible and that we collaborate appropriately with their systems. • Collaborate with the NVIDIA research team to use new storage and compute innovations, such as GPU direct storage and DPU.
• BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience) • 5+ years of proven experience • Experience building robust services at scale. • Build and maintain high volume / low latency data platform services • Strong foundation in algorithms and data structures and their real-world use cases. • Experience developing distributed systems, databases, or stream processing systems. • Experience building and operating microservices using Kubernetes and services from Cloud Service Providers. • Experience with backend systems and software engineering. • Programming experience in a relevant language, e.g., Go, Python, C/C++, Java. • A strong understanding of approaches to software engineering, architecture, and design. • Ability to document software and services and break down projects into practical tasks. • Communicate design, status, and other sophisticated subjects in written and oral formats.
• eligible for equity and benefits
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