Senior Technical Program Manager, Cloud Infrastructure

NVIDIA•Santa Clara, CA

1d•Hybrid

About The Position

NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is an exciting opportunity for a passionate, results-oriented, and creative individual to deliver exceptional value to our DGX Cloud customers. We are specifically looking for a TPM with extensive background in cloud infrastructure bring-up with external partners. You will play a key role in collaborating with CSPs, emerging cloud providers and engineering teams internally to help build AI capacity and infrastructure across the globe.

Requirements

8+ years of technical program management experience.
You have driven the planning and execution of large-scale cloud infrastructure programs with outside organizations.
You focus strongly 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).
Domain knowledge in the bring-up and end to end operations of compute, storage and GPU (including common failure points at the HW and SW levels).
Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to expertly guide engineering teams on their use of the tools.
Outstanding strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success
Comfort and efficiency in growing 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.

Nice To Haves

In depth knowledge of NVIDIA GPU products, including deployment and bring-up
Working knowledge of various cloud technologies (Kubernetes, API integration, Terraform, etc)
A highly enthusiastic, energetic, responsive, and passionate individual with a keen eye for identifying process improvement opportunities.
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

Responsibilities

Working in close coordination with storage engineering and network engineering teams to define and communicate requirements to CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers).
Drive alignment and a POR for capacity blocks based on workload needs.
Drive early engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Providers) to understand their managed storage, network solutions and influence alignment with NVIDIA Cloud roadmap
Gathering technical requirements, developing comprehensive roadmaps, establishing clear milestones, and ensuring adherence to our Product Lifecycle (PLC) process.
Managing ongoing capacity operations and the engineering engagement with CSP (Cloud Service Providers) and NCP’s (NVIDIA Cloud Provider) partners, collaborating closely with engineering leads.
Focus on availability, maintenance and other critical performance indicators.
Partner closely within NVIDIA to understand workload requirements and related hardware and infrastructure needs. This includes speeds and feeds to optimize infrastructure readiness with cloud vendors and NVIDIA Cloud Providers.
Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
Identifying and driving opportunities to onboard the adoption of third-party and in-house cloud infrastructure solutions for deployments, support, security, compliance and observability across DGX Cloud
Establishing 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.
Encouraging a culture of continuous improvement, consistently seeing opportunities for process improvements within our cloud infrastructure operations.