At NVIDIA, we constantly innovate to amplify human intelligence. Our invention of the GPU fueled revolutions in gaming, computer graphics, and parallel computing. Now, GPU deep learning is driving modern AI forward. Join our GPU AI/HPC Infrastructure team and lead the design of groundbreaking GPU compute clusters for demanding AI, HPC, and compute-intensive workloads. We are seeking an engineering leader for the Data Platform team to empower NVIDIA engineering teams with high efficiency data pipeline and visualization tools to keep up with the explosion of scale of data. This data platform is the backbone of all telemetry and application and user data for our CPU/GPU clusters, application observability, model training, inference, chip development, system and application health and other areas. - Manage and build up a team of fullstack engineers and data pipeline architects that deliver scalable data services and infrastructure that powers the Data Platform and dependent applications. - Work with end customers across the company to build a roadmap for the data planform that will meet their scaling needs. - Collaborate with, leverage, and influence product teams from internal experiences. - Actively work on project planning, scheduling and value/cost analysis for all engineering requests across multiple teams. - Coordinate cross functional development with other business units. - Establish team objectives for Data Platform and determine how to use resources to meet schedules and goals. - Drive software engineering execution quality and standard processes. - Solve reliability, efficiency, and productivity challenges for the Data Platform - Recommend changes to policies and establish procedures that affect immediate organization. - Connect with senior management for team vision and development progress. - BSEE, BSCS or equivalent experience and 15+ overall years of related work experience. - Proven experience managing teams of 15+ engineers for 5+ years. - Leadership experience, mentoring, and coaching skills for creating high performing teams. - Able to build data infrastructure for telemetry products that support 100K+ GPU’s with near-realtime processing - Familiar with OSS and cloud-based data infra technologies such as data lakes, data warehouses, etc. - Experience designing a reference architecture for a data infra org. - Strong collaboration skills across engineering, server, storage, and security teams. - Depth of understanding of distributed, scalable and fault tolerant architectures. - Good track record of developing, driving and delivering software products. - Strong software development processes fundamentals. - Prior exposure to customer facing roles. - Groom future engineering leaders and mentor junior engineers. NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most brilliant and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 425,500 USD for Level 4, and 308,000 USD - 471,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 29, 2025.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. JR1999835