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Nvidia Senior Data Processing Platform Engineer United States, Texas
Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance. Identify KPIs and instrument metrics tracking for dashboards and alerting. Enhancing and maintaining a robust scale,...
Support go-to-market readiness with overseeing product ops function. Collaborating with global cross-functional teams to define product attributes that drive overall ERP eco system and meet SLA-defined timeframes. Transform product ops...
Creating and analyzing financial information and business trends to develop reconciliations, financial reports, and variance explanations. Identifying, performing, and driving process improvement opportunities in the month-end close processes and supporting...
Working closely with architecture, hardware and driver teams through the product development lifecycle of computing and graphics processors, as well as compute products. Responsible for crafting software tools and infrastructure...
Lead the lifecycle including planning, execution and improvement of security certifications, including but not limited to ISO27001, SOC2 and NIST 800 series. Define, implement and operate compliance and audit processes,...
Provide COE accounting support for assigned business units. This support includes spending checkbook preparation, journal entries, P&L and balance sheet management and required approvals. Support capital management process, including fixed...
Lead the lifecycle including planning, execution and improvement of security certifications, including but not limited to ISO27001, SOC2 and NIST 800 series. Define, implement and operate compliance and audit processes,...
Optimize distributed computing infrastructure by analyzing cost and right sizing for latency and performance. Identify KPIs and instrument metrics tracking for dashboards and alerting. Enhancing and maintaining a robust scale,...
Data Analysts are responsible for analyzing and interpreting complex data to help inform and guide business decisions. They work with large datasets to identify patterns, trends, and insights that can be used to improve the performance of an organization. They use a variety of tools and techniques, including SQL, Excel, and statistical analysis, to extract, clean and transform data and perform data analysis.
Data Analysts work with cross-functional teams, such as product managers, marketing, and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also have experience with data visualization tools, such as Tableau and Power BI, to create interactive dashboards and reports to communicate data insights clearly and effectively. They also have to make sure the data is accurate and reliable and they have to be able to explain the data insights to non-technical stakeholders.