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The Solutions Architect will design and build enterprise AI solutions, aid in adopting NVIDIA AI technologies, and work on deep learning applications for customers across industries.

The role involves engaging with AI-native companies to optimize their AI platforms using NVIDIA technologies, focusing on architecture, model performance, and collaboration with technical teams.

Sell NVIDIA's networking portfolio to enterprise accounts, driving quota attainment by identifying, qualifying, and closing opportunities. Lead customer conversations across business and technical stakeholders, collaborate with solution architects and partners, and support solution development for AI and data center initiatives. Maintain pipeline, forecasting, and opportunity tracking in Salesforce while coordinating complex sales motions and building strategic customer relationships across Physical AI and Financial Services industries.

Develop and execute product marketing for NVIDIA NIM, including product launches, messaging, positioning, sales enablement, customer presentations, web content, blogs, webinars, demos, and solution briefs. Build co-marketing programs with model providers, cloud partners, and ISVs, and collaborate with PR on press launches. Translate technical AI platform capabilities into compelling narratives for ML engineers, developers, executives, and enterprise audiences.

Design and optimize custom SRAM circuits for performance, area, power, functionality, and robustness across advanced semiconductor processes. Collaborate with mask designers on dense pitch-matched layouts, verify electrical integrity, and improve design automation, data collection, and analysis flows. The role supports custom memory development for NVIDIA processing chips and requires strong SRAM design expertise, circuit design experience, and familiarity with semiconductor design and verification tools.

As a Senior Product Manager, you will oversee the end-to-end lifecycle of NVIDIA Mission Control software, driving product adoption and success through effective collaboration and technical insights.

Leads end-to-end execution of complex software platform programs across cloud infrastructure, platform services, system integration, validation, release delivery, and operational support. Coordinates software, infrastructure, product, and operations teams; manages dependencies, risks, technical issues, schedules, metrics, and senior-leadership reporting. Ensures full-stack readiness and delivery of scalable, reliable software supporting AI workloads.

Leads NVIDIA Cloud Partner Day 2 operational readiness for large-scale GPU infrastructure. Builds continuous validation, observability, automated detection and remediation, fleet lifecycle management, runbooks, SLOs, and reusable operational frameworks. Partners with engineering and operations teams to improve reliability, performance, and readiness across compute, networking, storage, Kubernetes, and AI workloads.

The Senior ASIC Design Engineer will micro-architect designs, ensure builds are verified, and collaborate with various engineering teams to create advanced SoCs and GPUs.

As a DFT Engineer, you will work on design-for-test solutions for sophisticated semiconductor chips, collaborating with various teams and vendors.