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As a Senior ASIC Verification Engineer, you will verify GPU designs using advanced methodologies, collaborate with teams, and develop verification infrastructure.

This role involves leading product management efforts for ADAS in autonomous vehicles, focusing on product design, user experience, and team collaboration.

Lead and manage the GPU Communications Libraries team at NVIDIA, overseeing project execution, quality, and library performance while collaborating with partners and stakeholders.

Develop and support RTL generation tools, automate workflows, enhance algorithms in C++ for logic insertion and Verilog processing, and improve tool quality.

Lead a data science team to design, build, and deploy large-scale, real-time AI/ML solutions (forecasting, diagnostics, LLM chatbot, retention models, optimization) to optimize GPU cloud gaming performance and user experience.

Lead development and productization of DGX/MGX L11 rack-scale systems through mass production. Drive system-level debug, create diagnostic tools/scripts, define manufacturing recipes and test criteria, collaborate with validation and manufacturing teams, guide factories to resolve issues, and present NPI status to executives.

Design, build, and deliver scalable SAP IBP planning solutions (response & supply, demand). Support and enhance planning processes, prototypes, integrations, dashboards, and end-to-end material, supply, replenishment, deployment, and service-parts planning to improve profitability and operational performance.

Lead risk-based internal audit coverage for Order-to-Cash, Legal & Regulatory Compliance, and Human Resources. Design and execute audits on revenue controls, trade compliance, anti-bribery, data privacy, antitrust, payroll/compensation, and HR controls. Provide independent assurance, actionable insights to executives and the Audit Committee, and maintain a dynamic risk-based audit plan aligned with ERM and SOX.

Lead and grow an engineering team to architect, implement, and optimize LLM/VLM inference software across frameworks (TensorRT-LLM, vLLM, SGLang, Dynamo). Drive performance tuning on NVIDIA datacenter GPUs, coordinate cross-functional delivery, work with benchmark teams, and integrate cutting-edge technologies for production-grade, developer-friendly LLM deployment.

Lead product discovery and concept definition for consumer and industrial products. Conduct research, craft prototypes and visual stories, collaborate with multidisciplinary teams through design and manufacturing, and apply engineering principles to deliver innovative, human-centered solutions. Mentor others and drive material and manufacturing innovation.