Technical Program Manager leading new product readiness for massive NVIDIA data centers focusing on AI technologies and infrastructure. Engaging with teams and customers to ensure successful deployments and operational excellence.
Responsibilities
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.
Requirements
Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related field (or equivalent experience).
6+ 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.
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