Jersey City, NJ, USA
1 day ago
Principal Technical Program Manager- AI Infrastructure Platforms

Elevate your career by steering multi-faceted tech programs, integrating innovative solutions for a dynamic impact across global operations. 

As a Principal Technical Program Manager in AI Infrastructure Platform in the Core Foundational Platforms group, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. Your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. With demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. Your exceptional communication and influencing abilities will foster productive relationships with stakeholders, ensuring alignment and effective risk management. In this pivotal role, you will contribute to the development of new policies and processes, shaping the future of our AI technology landscape. 

Job responsibilities 

Develop and implement strategic technical program plans, aligning with organizational goals and cross-functional collaboration Oversee complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks Foster strong relationships with stakeholders, clients, and cross-functional teams, providing direction and defining decision-making procedures for beneficial outcomes Guide the selection and implementation of appropriate technologies, platforms and software tools leveraging advanced technical fluency Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies Ability to interact with technical and non-technical audiences, spanning all functions and organizational levels. 

Required qualifications, capabilities, and skills 

10+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations Foundational understanding of Machine learning concepts such as transformer architecture, ML training and inference   Understanding of cloud component architecture: Microservices, Containers, IaaS, Storage, Security, Knowledge of routing/switching technologies. Advanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments Advanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives 

Preferred qualifications, capabilities, and skills 

Foundational understanding of NVIDIA GPU Infrastructures software such as NVIDIA DCGM, BCM, Triton Inference etc  Practical knowledge about one or more High Performance Computing and Machine Learning frameworks such as vLLM, Ray.io, Slurm and their application 

 


 

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