• Self-Service Platform and Golden Paths: Develop and maintain templates, playbooks, and paved-road patterns that enable product-team self-service • Developer Productivity and Continuous Improvement: Treat the developer platform as a product; maintain a managed backlog and roadmap • AI-Enabled Developer Experience and AI Governance: Lead secure, governed, organization-wide adoption of AI coding assistants • Policy-as-Code Governance: Develop and maintain a policy-as-code governance framework

• Build and deepen technical expertise within oil, gas, nuclear, solar, wind, and emerging clean technologies sectors • Serve as a trusted technical advisor and resource for energy developers • Partner across functions to develop ecosystem-wide adoption of NVIDIA technologies and invent industry standards and guidelines • Demonstrate and integrate NVIDIA's software stack (tools, SDKs, libraries, NIMs, and blueprints) into partner products, platforms, and pipelines to accelerate performance breakthroughs and drive scalable adoption across energy-sector workloads • Support developers and partners through onboarding and integration by providing reference implementations, sample code, demo pipelines, and hands-on assistance that enable energy-specific use cases and co-innovation of next-generation, production-ready solutions • Research and monitor the energy developer ecosystem to identify emerging growth opportunities, sharing insights with engineering, product management, and marketing teams to influence product roadmaps and optimize large-scale partner adoption strategies • Collaborate with partner senior technical leaders and internal engineering stakeholders to resolve sophisticated architectural challenges, establish ongoing collaboration rhythms, track adoption, and feed critical field insights back to NVIDIA's product and platform teams • Partner closely with Energy IBDs, Account Managers, and Solution Architects to identify the highest-impact energy platforms and developers building AI-driven exploration, grid optimization, reservoir simulation, and predictive maintenance applications • Work directly with developers at top energy startups and ISVs to accelerate integration of NVIDIA AI and compute technologies • Collaborate with data and AI partners to help scale GPU-accelerated seismic processing, energy modeling, and real-time grid and asset-monitoring workloads

• Establish trusted partner relationships with wireless research community in the public sector. • Lead and implement NVIDIA’s strategic goals in 6G and AI. • Engage with public sector partners and drive the ecosystem to bring groundbreaking innovation on NVIDIA’s platform. • Collaborate with cross-functional teams, including engineering, product management, and NVIDIA’s Govt. relations teams. • Analyze sophisticated challenges in realization of AI-native RAN, develop strategies, and implement solutions.

• Own Decodo’s technical documentation: rewrite, restructure, and maintain docs so both humans and AI agents can discover, understand, and use the product effectively. • Build a presence in the AI engineering and open-source community: Engage with developers on GitHub, socials, and tech communities—wherever developers actually hang out. • Initiate and create adoption-driven content: You don’t have to do all the heavy writing yourself, but you’ll bring the insights on hot topics, cool use cases, and handy tips to share with our audience. • Be the voice of the scraping community internally: Translate real-world developer pain points (blocking, CAPTCHAs, scaling issues, inconsistent success rates) into actionable inputs for our product and messaging teams. • Bridge scraping and the AI stack: Understand how web data fits into modern RAG pipelines, LLM tools, and AI agents, and bring that perspective back to the team.