Own day-to-day site operations — incidents, requests, critical issues, and support coverage — with accountability for queue health, SLA attainment, backlog, and service quality, plus site asset and inventory management across lifecycle, refresh, procurement, and compliance.
Own day-to-day site operations — incidents, requests, critical issues, and support coverage — with accountability for queue health, SLA attainment, backlog, and service quality, plus site asset and inventory management across lifecycle, refresh, procurement, and compliance.
Participate in cutting edge Processor design in deep submicron technologies. Work as part of a global circuits team to design innovative circuits (digital, semi-custom and mixed-signal analog) for silicon correlation and noise mitigation.
Help create and deploy NVIDIA’s reference AI Super Computer datacenter designs at ODM partners. Collaborate with internal server AI Product design teams on next generation projects and product roadmaps.
Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications. Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
Research, design, and implement novel, large-scale generative AI methods. Publish original research. Collaborate with team members, research teams, as well as product teams. Speak at conferences and events. Transfer technology to product groups.
Implement, enhance, optimize, and deploy new tools for chip level placement, reshaping and route optimization. Create innovative algorithms for computational geometry, placement, fast routing etc. to efficiently arrange the blocks in a chip.
Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems. Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training.
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