GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
10,000+
4 days ago
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
10,000+
• Design, architect, and deliver server-level RAS for NVIDIA’s data center products. • Define RAS requirements that ensure compliance with industry standards and customer expectations for scale-out environments. • Develop fault detection, isolation, and recovery mechanisms to ensure system resilience and minimize downtime. • Design redundancy and fault-tolerant mechanisms, including redundant components, interfaces, and error correction codes (ECC), to maximize system availability. • Evaluate and select appropriate technologies and components to optimize reliability, availability, and serviceability, considering factors such as mean time between failures (MTBF), mean time to repair (MTTR), and total cost of ownership (TCO). • Collaborate with customers, vendors and suppliers to assess and integrate their RAS-related solutions into the overall system architecture. • Conduct system and cluster level simulations, analysis, and testing to validate and verify the effectiveness of the RAS architecture and its components. • Stay up to date with the latest advancements in RAS techniques, fault tolerance mechanisms, and industry trends to guide future system designs. • Work with NVIDIA partners on RAS related architecture and discussions to improve their use of NVIDIA products. • Contribute to all phases of product development, from product definition, architecture, and design, through implementation, debugging, testing and early customer support.
• BS, MS, or PhD in EE/CS or related field of education with 15+ years of experience • Strong programming in C/C++ in Linux operating environment, strong understanding of Linux kernel internals, strong code review skills. • Strong expertise in system-level architecture design, reliability engineering, and fault tolerance mechanisms, optimizing RAS architectures for complex computing systems, data centers, or mission-critical applications. • Proficient in scale-out architectures, hands on experience are a plus. • Experience with fault-tolerant design principles and techniques, including redundancy, error correction codes (ECC), and error recovery mechanisms. • Proficiency in system-level simulation tools and methodologies (e.g., fault injection, reliability block diagrams, failure rate analysis). • Excellent problem-solving skills, attention to detail, and the ability to analyze complex system-level issues. • Excellent written and oral communication skills, excellent work ethics, a deep sense of teamwork, love to produce quality work and commitment to finishing your tasks every single day. • Self-starter who loves to find creative solutions to complicated problems.
• Eligible for equity and benefits • Equal opportunity employer
Apply Now4 days ago
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