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As a Query Engine Architect at Nvidia, you will lead query optimization efforts for Apache Spark on GPUs. Responsibilities include optimizing logical and physical query plans, enhancing adaptive query execution, engaging with open source communities, and collaborating with partners for data processing solutions. The role demands strong experience in big data projects and a deep understanding of query engines.
The Senior Software Engineer will develop tools for AI applications at scale, improving GPU performance using PyTorch and crafting a code generation system for deep learning models. The role involves collaboration with various engineering teams and influences hardware design at NVIDIA.
As a Memory Solutions Engineer, you will bring up high-speed memory interfaces on GPUs and SoCs, conduct functional validation and testing, optimize memory I/O settings, and collaborate with various teams for validation test plans. Root-cause analysis of issues is also a key responsibility.
As a Senior Product Manager for DGX Cloud at NVIDIA, you will lead the development of a product strategy and roadmap for storage solutions, working with partners across teams. Your role includes building cloud services, educating customers, and driving product transitions with a focus on AI and emerging technologies.
You will design and develop enhancements to HPC batch schedulers, collaborate with vendors on bug fixes and feature releases, and build ecosystems for GPU-accelerated computing. Additionally, you will conduct performance analysis for deep learning workflows, create automation solutions, and perform root cause analysis for HPC issues.
Seeking a Senior DevOps Engineer to lead software development and deployment processes in robotics field. Responsibilities include automation, CI/CD management, infrastructure management, system administration, collaboration, and security compliance.
The Senior Math Libraries Engineer at NVIDIA will develop high-performance numerical libraries for AI and HPC. Responsibilities include project execution, technical leadership, collaborating with product management, and optimizing library performance. The role requires expertise in kernel generation and experience in project management.
As an ASIC Design Engineer, you will micro-architect and design clock modules for SOCs, balance frequency and power optimizations, collaborate across SOC functions, automate RTL generation, and engage in the full SOC execution cycle including design sign-off and silicon bringup.
Lead silicon activities for NVIDIA's chip bringup efforts from pre-silicon through production. Coordinate among all functional groups, plan and execute chip bring-up, resolve dependencies, and improve chip deliverables and methodologies.
As a Senior ASIC Verification Engineer at NVIDIA, you will verify designs and implementations of SoCs and GPUs. Responsibilities include defining verification scope, developing verification infrastructure for high-speed protocols, and collaborating with engineers to verify firmware code and hardware interactions.
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