NVIDIA
Technology
SeniorTechnicalProgramManager,DGXCloudSoftwareProductsandService
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“Senior Technical Program Manager, DGX Cloud Software Products and Service at NVIDIA. Skills: AI infrastructure, Cloud platforms, Distributed systems, Kubernetes, Software delivery. Lead implementation of DGX Cloud software initiatives. Manage DGX Cloud software initiatives”
Industry & Context.
Technical issue resolution; Resource conflict resolution; Data-driven decisions
What They're Looking For.
Must Have
Postgraduate degree in Computer Science, 12+ years of program management experience, Proven ability managing global projects, Practical experience working with Kubernetes, Proven experience driving large-scale software programs, Understanding of software engineering guidelines, Understanding of release procedures, Understanding of system integration, Understanding of platform delivery, Proven experience creatively resolving technical issues, Proven experience creatively resolving resource conflicts, Direct experience working within a dynamic software development environment, Excellent communication skills, Excellent technical presentation skills, Significant experience with large-scale Agile tools, Significant experience with Agile reporting, Significant experience with Agile processes, Demonstrated skill in engaging engineering teams, Demonstrated skill in engaging operations teams, Demonstrated skill in engaging product teams, Demonstrated skill in moderating successful engagements
Nice to Have
background in Machine Learning, background in Deep Learning, background in Artificial Intelligence applications, Prior experience leading programs for Kubernetes platforms, Prior experience leading programs for cloud-native infrastructure, Prior experience leading programs for platform services, Prior experience leading programs for developer platforms, Experience with software release management, Experience with service operationalization, Experience with large-scale platform adoption, Familiarity with observability, Familiarity with CI/CD, Familiarity with infrastructure automation, Familiarity with service reliability practices, Consistent track record of driving process improvements, Consistent track record of measuring efficiency, Familiarity with NVIDIA platforms, Familiarity with NVIDIA products, Familiarity with NVIDIA ecosystem
What You'll Do.
Lead implementation of DGX Cloud software initiatives
Manage DGX Cloud software initiatives
Deliver DGX Cloud software initiatives
Operationalize DGX Cloud software initiatives
Partner with software teams
Partner with infrastructure teams
Partner with product teams
Partner with platform engineering teams
Align on architecture achievements
Align on deliverables
Lead initiatives involving Kubernetes-based platforms
Lead initiatives involving cloud-native services
Lead initiatives involving platform APIs
Lead initiatives involving distributed systems
Define scalable program management processes
Implement scalable program management processes
Define program management tools
Implement program management tools
Define program management guidelines
Implement program management guidelines
Identify cross-functional dependencies
Drive resolution of technical issues
Drive resolution of programmatic issues
Establish success metrics
Establish reporting mechanisms
Communicate status to senior leadership
Foster collaboration across teams
Foster continuous improvement across teams
Develop metrics for assessing program efficiency
Identify areas for improvement
Support data-driven decisions
Report on program status
Provide insights to senior management
Provide recommendations to senior management
Drive organizational alignment
Drive organizational efficiency
Coordinate with multi-functional leads
Streamline processes across software development lifecycles
Streamline processes across release execution
How You'll Work.
Team & Collaboration
Cross-functional projects; Software engineering teams; Infrastructure teams; Product teams; Platform engineering teams; Engineering teams; Operations teams; Product teams
Communication Scope
Technical presentation; Reporting; Status communication
Process & Methodology
Program management, Agile, Roadmap management
Full Job Description
DGX Cloud Team is looking for a Senior Technical Program Manager (TPM) to guide complex, cross-functional projects that support NVIDIA’s next-generation AI infrastructure. This position involves leading software-related initiatives across cloud platforms, infrastructure services, and distributed systems. The role focuses heavily on cloud-native software delivery, Kubernetes-based platforms, and large-scale AI workloads. You will be responsible for managing high-impact engineering programs within a dynamic, fast-paced roadmap, aligning priorities across teams, and ensuring timely and high-quality delivery. This role requires strong technical skill, a proactive approach, and the ability to operate effectively across multiple levels of the organization. We are specifically looking for a software TPM with strong Kubernetes experience who can help drive execution across platform software and cloud infrastructure. **What You 'll Be Doing:** * Lead the complete implementation of DGX Cloud software initiatives, encompassing planning, management, delivery, and operationalization across NVIDIA’s cloud infrastructure. * Partner with software, infrastructure, product, and platform engineering teams to align on goals, architecture achievements, deliverables, and schedules. * Lead initiatives involving Kubernetes-based platforms, cloud-native services, platform APIs, and distributed systems that enable AI training and inference workloads. * Define and implement scalable program management processes, tools, and guidelines to ensure high execution velocity and program transparency. * Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues across the software stack. * Establish clear success metrics and reporting mechanisms to track progress and communicate status to senior leadership. * Foster a culture of collaboration and continuous improvement across engineering, product, and operations teams. * Develop and implem
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