• Track and understand evolving agent development patterns across NVIDIA and the broader ecosystem, maintaining current knowledge of both research and commercial products. • Develop open-source libraries and tools which accelerate and optimize agent harnesses and frameworks ensuring top-tier performance, accuracy, quality, and stability. • Benchmark the latest agents to identify bottlenecks and build creative solutions to increase performance, reduce cost, and improve latency. • Work closely with teams building high-performance data pipelines, RAG systems, vector databases, and GPU-optimized training and inference workflows to deliver best-in-class agentic applications. • Identify gaps and friction in current agent architectures, and translate insights into agentic tools that boosts developer velocity and agent quality—backed by evaluations, benchmarking, and feedback loops.

• Design and document technical and functional specifications using tools such as flowcharts, ER diagrams, and pseudocode • Develop, test, and integrate high-quality software using modern engineering standards and automated tools • Review and refactor existing code to improve performance, scalability, and maintainability • Analyze and enhance existing applications to meet evolving business requirements • Support migration efforts from legacy systems to modern platforms • Serve as a subject matter expert for internally developed Virtual LIMS (Lab Information Management System) • Support production environments, including Tier-3 troubleshooting and occasional after-hours support including on-call support • Adhere to enterprise development standards and best practices • Learn and apply knowledge of laboratory operations and clinical workflows to support system design and functionality • Contribute as both an individual contributor and technical SME, providing guidance to junior engineers as needed

• craft new interactive building blocks that captivate learners and make foundational concepts addictive to master. • build clear and expressive APIs designed for experts and AIs. • own the technical implementation of learning experiences from idea to launch on a cross-functional team that trusts you to do what's right for our users. • write simple, robust, readable code that teammates and future engineers can easily maintain and extend. • contribute to a culture of excellence within your pod, setting high standards for candor and mutual accountability. • frequently ask: *How does this impact our learners?*

• Design, build, and maintain backend systems and infrastructure that power stablecoin-based money movement, including pay-ins, payouts, deposits, and withdrawals. • Own key projects end-to-end as the Directly Responsible Individual (DRI), driving them from design through production with high accountability. • Build internal and external APIs that enable businesses and partners to embed stablecoin-powered payments into their products. • Partner with cross-functional teams including Product, Design, Infrastructure, and Compliance to deliver robust, scalable solutions. • Identify and resolve performance, scalability, and reliability challenges across distributed systems. • Mentor engineers on architectural best practices and contribute to raising the technical bar across the team.