• Design and build agentic LLM pipelines that power AI features across the product. • Build full-stack product features: Python/FastAPI web applications, TypeScript/React web tooling. • Prompt-engineer and iterate on LLM prompts and models. Evaluate and recommend improvements based on accuracy, latency, and cost. • Strengthen our evaluation framework: curated datasets, evals, experiments, and regression identification, so we can ship changes with confidence. • Improve production observability: accuracy signals and feedback loops. • Contribute to architecture and technical direction. • Actively partner with other product teams to understand their AI use cases and identify how to best enable and support them. • Advise on when to apply an AI/LLM solution, and when not to: championing AI where it drives speed and ROI and steering away where it doesn't.

• Reimagine and implement the future of tech for the music industry • Work as part of a dynamic and highly effective team • Own the creation and delivery of highly innovative products • Implement maintainable solutions with high quality and reliability that can scale as our business continues to grow and expand • Learn and grow as a professional through close collaboration with your team members and engineering leaders, and by being part of culture of continuous improvement and learning • Provide mentorship to other engineers, fostering their professional growth and success • Respond to incidents and perform on-call duties with an eye towards root cause fixes and improvements

• Design and build software code and cloud services for Data Management, including providing a catalog, managing metadata and life cycle of datasets and checkpoints • Connect with other technical leaders across NVIDIA to ensure you are using existing technologies where possible and that we are collaborating appropriately with their systems • Collaborate with the NVIDIA research team to utilize new storage and compute innovations, including GPU direct storage and DPU

• Directly manage and support engineers working in the acquisition area, including performance, coaching, and prioritization • Act as the technical lead for acquisition engineering and help grow the team over time • Own the engineering side of acquisition, website experience and our customer funnels with a strong focus on reducing friction and improving conversion • Build and improve the analytics, instrumentation, and observability needed to understand funnel performance and conversion behavior • Collaborate closely with Marketing, Compliance, Legal, Product, and Branding to deliver compliant and effective regional experiences • Design and maintain a headless CMS architecture that supports both global and region-specific content • Build CMS-driven frontend applications using React and TypeScript • Define and evolve content models that account for region-specific product offerings and regulatory requirements • Implement publishing workflows that support review and approval by regional compliance teams • Improve the tooling and workflows that connect Design, content creation, and implementation • Partner closely with Design to implement and scale a shared design system across web surfaces • Help shape how content is generated, managed, and reused across languages, regions, and compliance contexts • Maintain high standards for performance, accessibility, SEO, and visual quality across all regions • Use data to evaluate funnel performance and guide product and UX improvements • Collaborate with backend engineers on API design when custom endpoints are required for web or CMS use cases • Mentor other engineers and influence frontend and web platform best practices across the company