• Lead Vanta's AI tooling strategy for engineering, evaluating and implementing AI-powered development tools (code generation, AI-assisted code review, intelligent testing tools) that meaningfully improve developer productivity • Drive key developer experience initiatives such as bringing UI testing in-house, modularizing our codebase for improved testability and isolation, and continuously improving build and deployment systems • Design and build developer tools and infrastructure that enable engineers across all product teams to ship high-quality code efficiently • Collaborate horizontally across engineering teams to understand pain points, identify opportunities for improvement, and deliver solutions that scale across the organization • Mentor engineers on best practices for development workflows, testing approaches, and AI tool adoption

• Be the technical authority for our capital markets ecosystem, ensuring flawless execution and impactful results. • Collaborate with cross-functional teams, including solution architects, engineering, product management, and marketing, to successfully implement initiatives that drive engagement and growth of the ecosystem. • Build and nurture relationships with quants, developers, partners, and industry leaders to foster a vibrant AI-driven capital markets community. • Provide technical mentorship and support to quant researchers, developers, and financial engineers, helping them innovate and win using NVIDIA's technologies. • Act as the voice of the developer, gathering insights and feedback to directly influence the product roadmap for NVIDIA's AI platforms and tools, ensuring they meet the evolving needs of the Capital Markets developer community. • Coordinate and participate in events, webinars, and other activities to showcase our solutions and engage with the capital markets community.

• Developing and maintaining creative, hands-on technical samples that highlight platform capabilities through real-world AI use cases • Building and documenting distributed systems designed for global scale and high-performance inference at the edge • Creating high-quality written and video content, including deep-dive Youtube tutorials and efficient, engaging short-form videos for social platforms • Optimizing and demonstrating LLM inference on GPUs, focusing on performance, latency, and efficiency within the open-source ecosystem • Leading community building efforts by engaging with developers on GitHub, Discord, and at industry events to foster a culture of technical excellence • Contributing to the open-source LLM ecosystem and ensuring our tools integrate seamlessly with popular AI frameworks and libraries • Providing actionable feedback to internal engineering teams baed on hands-on testing and developer community insights • Representing the company through technical storytelling at conferences, workshops, and live-coding sessions • Engage with the developer community in SF and the Bay Area and globally

• Act as a technical advisor, collaborating with partner engineering teams on architecture, integration, and code for Isaac Sim, Isaac Lab, and AI-enabled robotics solutions. • Build and maintain deep expertise in NVIDIA robotics SDKs, with a focus on simulation and robot learning. • Track emerging trends in the robotics ecosystem to identify new opportunities. • Co-design and deliver advanced robotic solutions with partners—defining objectives, architecture, milestones, and implementation plans. • Create technical enablement resources such as sample code, reference architectures, integration guides, and workshops. • Work closely with partner engineering leaders and decision-makers to identify challenges, recommend solutions, and drive adoption of NVIDIA robotic technology. • Represent partner needs internally, providing feedback to NVIDIA’s product and engineering teams to influence future roadmaps. • Support product launches and go-to-market activities with technical validation, demos, and customer-facing materials.