Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 4
Agile @ 6
Communication @ 9
Compliance
GPU @ 4
Jira @ 6
Kubernetes @ 4
Machine Learning
Observability
Security
Terraform @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking an accomplished Technical Program Manager to join the DGX Cloud team. The role focuses on cloud infrastructure bring-up, AI capacity enablement and management, and collaboration with internal engineering teams and external partners to build AI capacity and infrastructure globally.
Responsibilities
- Gather technical requirements, develop comprehensive roadmaps, achieve breakthroughs, and ensure adherence to the Product Lifecycle (PLC) process.
- Use Jira and other program management platforms to establish rigor and structure for engineering deliverables.
- Collaborate cross-functionally with internal and external stakeholders to understand partner capabilities, connect them to NVIDIA reference architectures, and drive execution.
- Identify and drive opportunities to onboard third-party and in-house solutions for deployments, support, security, compliance, and observability across DGX Cloud.
- Establish metrics and key performance indicators (KPIs) and quantitatively demonstrate program value and impact.
- Identify, resolve, and mitigate risks and issues affecting scope, schedule, and quality.
- Develop and execute communication strategies that provide organizational visibility into program progress and engineering delivery, including regular presentations to NVIDIA's executive leadership team.
- Promote continuous improvement and identify process improvements within cloud infrastructure operations.
Requirements
- 10+ years of technical program management experience driving the planning and execution of large-scale engineering programs, particularly software engineering projects in a matrixed organization.
- Extensive hands-on cloud infrastructure experience, preferably from a major Cloud Service Provider (CSP), including AI/ML infrastructure.
- Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to guide engineering teams in their effective use within an Agile/Scrum framework.
- Strong strategic and tactical thinking, consensus-building, and program execution skills.
- Ability to work effectively in ambiguous environments.
- Excellent communication and technical presentation skills, particularly with executive audiences.
- BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Preferred Qualifications
- Exceptional communication skills and experience coordinating multifunctional teams across organizational boundaries and geographies.
- In-depth knowledge of NVIDIA GPU products, including deployment and bring-up.
- Understanding of cloud technologies such as Kubernetes, API integration, and Terraform.
- Experience with productivity tools and process automation.
- Familiarity with cloud-native product and services environments, AI, ML infrastructure, and cloud services.
Benefits
- Equity and benefits are provided in addition to the base salary.
- NVIDIA is an equal opportunity employer committed to an inclusive work environment.
Applications will be accepted at least until August 24, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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