• Serve as a reliable technical expert in one or more areas of the codebase, making well-reasoned design decisions with appropriate trade-offs • Own features and projects from requirements through technical design to production delivery • Scope work into milestones with reasonable estimates and communicate early when timelines are at risk • Debug complex issues across system boundaries and design for observability --logging, metrics, and alerting • Proactively identify and address issues in the codebase or process, not just the work assigned to you • Contribute to technical direction within your team and advocate for quality from the user's perspective • Perform thorough, constructive code reviews and mentor engineers earlier in their careers • Document your work and decisions so others can build on them • Support Product Owners with domain expertise and help translate requirements into technical designs • Handle ambiguity -- make progress when requirements are incomplete or evolving • Design and deliver work that spans multiple system components, unblocking teammates and identifying risks to the broader team's delivery • Shape technical standards, drive improvements to code quality and tooling, and communicate complex technical concepts clearly to non-technical stakeholders

• 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?*