Technical Program Manager, New Product Readiness

NVIDIA is seeking a Technical Program Manager on the Solutions Architecture team. Academic and commercial groups worldwide use NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers! NVIDIA wants someone to lead planning and readiness of all new products for deployments CSP AI data centers. This includes power and cooling systems, cabling, network provisioning, and bring-up and validation. As the Technical Program Manager, you will implement the lessons learned from previous product launches and ensure we are best prepared to support our internal and external customers while ensuring the integrity of NVIDIA platform infrastructure. You will guarantee that all documentation and training is completed and ensure that dependencies for readiness are identified and documented. This will meet NVIDIA product architecture, operational needs, and industry standards. The readiness infrastructure includes technical lessons learned as well and non-technical processes. Engaging effectively with customers is also a key responsibility to support a successful product launch at mass production. What you will be doing: Ensuring that from engineering sample to mass production, that NVIDIA is ready to support with tooling, processes and lessons learned which are implemented and available for internal and external roll out. Program management of the status for hardware, software, tooling, and process are defined. Lead customer engagement and communication, coordinating planning, and activity preparation. Quality Assurance: Establish and implement quality assurance processes to verify that deliverables meet established specifications and quality requirements. Continuous Improvement: Drive initiatives to improve efficiency through automation, tooling, and other means to increase speed and accuracy of readiness planning. Partnership and Communication: Collaborate and communicate across internal teams and customers to facilitate the seamless integration of our readiness capabilities. What we need to see: Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related field (or equivalent experience). 12+ years of overall experience in enterprise and/or hyperscale data centers, preferably for high density AI/HPC data centers. Proven experience in hardware deployments, or infrastructure planning roles, focusing on large-scale data center deployments. Proven technical and project leadership under fluid situations, ability to adapt to unknowns and change. Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a dedication to quality. Effective communication and interpersonal skills, with the ability to engage effectively and expertly with diverse collaborators including customers and facilitate productive discussions. Organization & Time Management – able to plan, schedule, and coordinate tasks related to the job to achieve goals within or ahead of established time frames. Willingness to travel (up to 25%). Way to stand out from the crowd: Experience in large program management projects Solid understanding of processes and tooling used in product rollouts Outstanding communication skills. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 240,000 USD - 379,500 USD for Level 6. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until June 7, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive 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.