GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
October 30
🇺🇸 United States – Remote
💵 $180k - $339.3k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Lead technical activities for data centers with focus on hybrid deployments between cloud and on-prem • Providing expertise in infrastructure workflows, including hardware, workload orchestration and application tuning • Provide fast and creative solutions for complex problems and write effective, clear and reliable architecture specification • Translate requirements to vision, architecture and roadmap • Work with engineering teams across NVIDIA to ensure your software integrates seamlessly from the hardware all the way up to the AI training applications.
• Masters or PhD in Computer Science, Computer Engineering, Physics or equivalent experience • 10+ years of experience in this field. • Data Sciences, Deep Learning, or Machine Learning coursework • Ability to seamlessly shift between Linux system environments to Python programming • Programming skills in 1 or more high-level languages (C, C++,Go,Rust etc) • System-level experience with both hardware and software • Motivated self-starter with an equal balance of strong problem-solving skills and customer-facing communication skills • Strong design, coding, analytical, debugging and problem-solving skills • Passion for continuous learning and knowledge transfer. • Ability to work concurrently with multiple groups locally and abroad in the organization
• You will also be eligible for equity and benefits.
Apply NowOctober 30
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