We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a fantastic opportunity for a passionate, creative individual to deliver outstanding value to our DGX Cloud customers. We are specifically looking for a TPM with extensive experience in cloud infrastructure bring-up and relationship management. You'll be instrumental in partnering with companies and engineering teams internally to help build AI capacity and infrastructure across the globe

What you'll be doing:

As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management. You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up and maintenance. This is a dynamic, fast-paced environment where TPMs are expected to apply fungible skillsets to a range of high-impact programs across DGX Cloud. Your responsibilities will include:

• Gathering technical requirements, developing comprehensive roadmaps, achieving breakthroughs, and ensuring adherence to our Product Lifecycle (PLC) process.

• Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.

• Collaborating cross-functionally internally and externally to understand partner capabilities, build a bridge to NVIDIA reference architectures and drive execution

• Identifying and driving opportunities to onboard the adoption of third-party and in-house solutions for deployments, support, security, compliance and observability across DGX Cloud

• Establishing metrics and key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.

• Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects.

• Developing and executing a robust communication strategy to ensure organizational visibility on overall program progress and engineering delivery, including presenting regularly to NVIDIA's executive leadership team.

• Encouraging a culture of continuous improvement, consistently finding opportunities for process improvements within our cloud infrastructure operations.

What we need to see:

• 10+ years of technical program management experience, specifically driving the planning and execution of large-scale engineering programs, with a strong focus on software engineering projects within a matrixed organization.

• Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP) including AI/ML

• Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently guide engineering teams on their effective use and execution within an Agile/Scrum framework.

• Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success

• Comfort and effectiveness in thriving within ambiguous environments.

• Possess excellent communication and technical presentation skills, particularly for executive audiences.

• BS or MS in Electrical Engineering or Computer Science, or equivalent experience.

Ways to stand out from the crowd:

• Highly motivated with exceptional communication skills, and a proven ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.

• In depth knowledge of NVIDIA GPU products, including deployment and bring-up

• Solid understanding of various cloud technologies (Kubernetes, API integration, Terraform, etc)

• Significant experience with productivity tools and process automation is a major plus.

• Deep familiarity with cloud-native product / services environments and familiarity with AI, ML infrastructure, and cloud/services

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This posting is for an existing vacancy. 

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