Role Description Are you ready to tackle sophisticated distributed systems challenges at scale? Our Telemetry Platform team is looking for a Senior Software Engineer to help us build and evolve the services that collect and process data from millions of NVIDIA users worldwide. If you love working on high-impact infrastructure, we want to hear from you! - Build real-time, high-load data collection services; - Drive architectural decisions for shared infrastructure components: metrics, distributed tracing, and configuration management; - Collaborate with multi-functional teams on integration points and API contracts; - Ensure operational perfection: monitoring, and performance optimization. Qualifications - A Bachelor’s or Master's degree in Computer Science, Engineering, or a related field; - 5+ years of software engineering experience; - Proven Java expertise (Java 17+), including JMM and concurrency; - Proficiency in Spring Boot and reactive architecture (Project Reactor or similar); - Strong understanding of distributed systems, microservices architecture, and event-driven development; - Hands-on experience with Kubernetes, Docker, and message brokers (Apache Kafka preferred); - Proficient in English. Requirements - Experience with AWS Cloud technology stack (or similar); - Familiarity with observability tools, including Prometheus, Grafana, and distributed tracing (OpenTelemetry or similar); - Experience building and maintaining CI/CD pipelines (GitLab CI, Jenkins, or equivalent); - Knowledge of time-series or columnar databases (ClickHouse, Cassandra). Benefits NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. - Widely considered to be one of the technology world’s most desirable employers; - Offers highly competitive salaries; - Comprehensive benefits package. As you plan your future, see what we can offer to you and your family: www.nvidiabenefits.com

• Design, build, and maintain scalable, optimized data pipelines that support business intelligence and analytics use cases. • Partner with Enterprise, Solution, Technical Architecture, and Infrastructure teams to evolve data platform architecture. • Perform conceptual and logical data modeling to assemble data sets of varying size and complexity. • Develop and manage ETL/ELT processes using AWS and SQL-based technologies. • Implement analytical solutions that generate actionable insights into operational efficiency, donor acquisition, and key business metrics. • Collaborate with data, product, design, and executive stakeholders to support data needs and resolve technical issues. • Serve as a technical lead for Data Engineer I and II teammates by coaching, mentoring, and reinforcing best practices. • Conduct testing and root cause analysis to troubleshoot data quality, performance, and integration issues. • Provide structured and ad‑hoc knowledge sharing and documentation across teams. • Support data access configuration, integrations, and onboarding standards. • Partner with governance and security teams to enable data cataloging, lineage, and discovery.

• design, build, and maintain large-scale data infrastructure and data processing systems • implement robust and scalable solutions to support data-driven applications, analytics, and business intelligence • utilize GCP Cloud Services and Python Development

• Design and maintain the enterprise data architecture vision, blueprint, and roadmap. • Design scalable, secure, and performant data models, data flows, and integration patterns across source systems, data platforms, and consumption layers. • Establish architectural standards, frameworks, and best practices for data storage, integration, and consumption across AWS and Azure cloud environments. • Own the design and evolution of Catalight's Snowflake data warehouse architecture. • Evaluate and recommend emerging data technologies, tools, and platforms to continuously modernize Catalight's data ecosystem. • Partner closely with the Data Governance Manager to design and enforce enterprise data governance frameworks, policies, and standards. • Ensure data architecture design supports HIPAA compliance and other applicable healthcare data privacy and security requirements. • Champion a culture of responsible data stewardship across the organization. • Collaborate with data science and analytics stakeholders to ensure high-quality data for AI/ML use cases. • Communicate architectural vision, decisions, and trade-offs clearly to both technical and non-technical audiences.