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The role involves developing and implementing features for the CUDA driver and collaborating on solutions for NVIDIA's compute platform, requiring strong coding and design skills.

The role involves developing automated tests and tools for NVIDIA software, focusing on improving quality and efficiency through Python programming and AI-assisted development tools.

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities for cloud and data-center deployments, working with engineering and product teams to qualify solutions, acting as customer advocate, driving forecasting and NPI, resolving product challenges, and communicating solution fit and business value to stakeholders. Travel as needed.

Lead technical partnership with Alphabet teams to drive adoption and integration of NVIDIA libraries, models, and frameworks. Coordinate cross-functional engineering and GTM teams, resolve integration challenges, influence product roadmaps, and deliver joint solutions that accelerate partner workloads and developer adoption.

The Software Development Engineer in Test will design automated tests using AI technologies for NVIDIA products, develop testing tools, and collaborate across teams to improve software quality.

Lead technical partnership with Amazon to drive integration and adoption of NVIDIA libraries, models, SDKs and frameworks. Coordinate cross-functional NVIDIA teams, accelerate partner workloads, influence product roadmaps, advocate to developers and executives, and deliver joint GTM solutions and proofs-of-concept to advance integrations and adoption.

Manage and grow NVIDIA's networking business with Oracle by identifying opportunities, qualifying solutions with engineering and PM teams, driving forecasting and NPI, acting as the customer advocate, and supporting deployment of networking products in cloud and data centers.

Lead technical partnership with Meta to drive adoption and integration of NVIDIA libraries and frameworks across product, engineering, and research teams. Advocate NVIDIA solutions, resolve technical challenges, guide co-engineering efforts, influence product roadmaps, and coordinate cross-functional teams to deliver performance-optimized AI training, inference, recommender, and data-processing solutions.

Design, build, and deploy end-to-end AI-powered media and broadcasting solutions using NVIDIA's AI/media stack. Act as a hands-on technical advisor in pre/post-sales, create POCs and reference architectures, optimize performance and TCO, and collaborate with customers and internal teams to scale solutions and provide technical collateral.

Serve as a technical advisor to research labs to accelerate adoption of NVIDIA AI and computing platforms. Map research ecosystems, track emerging scientific AI trends, collaborate cross-functionally, enable researchers through demos, workshops, and technical content, and represent researcher needs to inform product, education, and platform roadmaps. Attend conferences and foster long-term academic and national-lab partnerships.