• Design, develop, and maintain reliable, production-grade code across frontend, backend, and data layers, implementing software solutions that meet clinical, operational, and regulatory requirements • Deploy and operate services in a cloud environment (AWS preferred) and contribute to architecture and design reviews with a focus on reliability, scalability, and security • Debug and resolve production issues across distributed and asynchronous workflows; diagnose performance bottlenecks; and own incident response, including root cause analysis and durable fixes that prevent recurrence • Collaborate with QA, Clinical Operations, Clinical Development, Product, and IT stakeholders to translate requirements into validated releases • Design APIs and data models that preserve audit trails, version history, and system traceability; and improve system observability through structured logging, monitoring, and alerting • Uphold high standards for data integrity, security, and regulatory compliance across all systems

• Designing and developing software for testing and analysis of our codebases • Building scalable automation for build, test, integration, and release processes for publicly distributed deep learning libraries • Developing throughout the software stack, from the user experience down to the cluster and database layers • Configuring, maintaining, and building upon deployments of industry-standard tools (e.g. Kubernetes, Jenkins, Docker, CMake, Gitlab, Jira, etc) • Advancing innovative in those industry-standard tools and upstreaming contributions to the open source community

• Gathering use cases + requirements, translating those into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners. • Reporting project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings. • Brokering technical discussions between highly technical subject matter experts • Leveraging AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code. • Architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters

• Design, implement, test rigorously and support microservices at scale in a collaborative environment. • Advocate for and implement operational best practices and serve on-call for the team’s services. • Demonstrate quickness in learning and interest in teaching others. Take part in sprint and quarterly planning ceremonies. • Contribute to a highly collaborative team, sharing your ideas and requesting feedback. • Communicate complex ideas simply through verbal and written communication.