• Work closely with product management and internal or external partners, to understand use cases and requirements, and contribute to the technical roadmaps of libraries • Architect, prioritize, and develop accelerated and distributed implementations of numerical algorithms • Design future-proof Python APIs for accelerated numerical/scientific computing libraries • Analyze and improve the performance of developed APIs on various CPU and GPU architectures, especially as a part of customer-critical end-to-end workflows • Prototype integrations of developed APIs into targeted frameworks • Write effective, maintainable, and well-tested code for production use • Contribute to the development of runtime systems that underlay the foundation of multi-GPU computing at NVIDIA

• Architect end-to-end software solutions using modern frameworks and design patterns aligned with scalability, performance, and maintainability goals. • Lead system design discussions for high-traffic applications, ensuring robust architecture for business-critical services. • Evaluate, recommend, and implement architectural improvements to enhance scalability, observability, and resilience. • Define and uphold best practices for code quality, security, accessibility, and data privacy compliance. • Lead complex, cross-functional projects from concept to delivery, aligning engineering solutions with business needs. • Collaborate with product and business teams to define technical vision and ensure cohesive project execution. • Oversee the technical implementation of new features and services, ensuring efficient use of system resources and infrastructure. • Build and maintain distributed systems using Spring Boot microservices, Docker, and Kubernetes. • Design and optimize high-performance databases using MySQL and Oracle, leveraging indexing and tuning for efficiency. • Implement and manage Redis for caching, Eureka Server for service registration, and the ELK Stack for monitoring and analytics. • Configure Nginx and Apache for load balancing and high availability across production systems. • Own and maintain CI/CD pipelines using Jenkins for automated builds, testing, and deployments. • Ensure system health and stability through proactive monitoring, logging, and alerting strategies. • Drive improvements in deployment automation, infrastructure as code, and site reliability practices. • Act as a technical advisor and mentor, helping develop engineers’ skills in architecture, design, and problem-solving. • Conduct code and design reviews to maintain engineering excellence. • Collaborate effectively with senior leadership and cross-departmental stakeholders to influence company-wide technical initiatives. • Foster a culture of innovation, ownership, and accountability across the engineering organization.

• Own architecture for major systems across backend, database/lakehouse, and application layers. • Lead solution design for high-complexity initiatives and deliver production-ready implementations when needed. • Define patterns, abstractions, and technical standards that increase velocity and consistency. • Unblock teams by diagnosing issues across full-stack boundaries (Blazor → API → Postgres → data pipelines). • Guide schema evolution, performance optimization, reliability engineering, and security considerations. • Mentor senior engineers and elevate engineering culture through clarity, documentation, and example. • Partner closely with product, design, CTO, data, and AI/ML teams to shape roadmap and feasibility. • Apply AI/ML concepts to improve automation, personalization, data quality, and developer experience.

• Champion and embody our core values – accountability, collaboration, iteration, and attention to detail. • Perform thorough code reviews and provide constructive, actionable feedback. • Embrace rapid, iterative design, testing, and development to deliver value while continuously learning. • Demo your work regularly to teammates and peers. • Promote strong engineering habits, including sound development practices, security awareness, and thoughtful management of technical debt. • Advocate for improved standards, tooling, and processes across the team. • Partner with product and engineering management to shape roadmaps, plan timelines, and release features incrementally. • Participate in all phases of the product development lifecycle, helping assess the technical feasibility of new initiatives. • Contribute to a positive, supportive team culture grounded in shared ownership and accountability. • Collaborate across Foundation Services and the wider engineering organization to deliver impactful, reliable systems.