Senior Technical Program Manager, DGX Cloud Software - Product and Services
at Nvidia
USD 168,000-258,800 per year
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
Agile @ 4
Communication @ 6
Deep Learning @ 7
Distributed Systems @ 7
Kubernetes @ 4
Linux @ 4
Machine Learning @ 7
Networking @ 4
Reporting @ 4
Software Development @ 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's DGX Cloud powers AI for strategic research and product workloads. NVIDIA is seeking a Senior Technical Program Manager to lead complex, cross-functional programs powering next-generation AI software platforms. This software-first TPM role focuses on platform services, cloud infrastructure, system integration, and enabling scalable, reliable, and supportable software for AI workloads.
Responsibilities
- Lead end-to-end execution of software platform initiatives, including planning, execution, delivery, and operationalization.
- Collaborate with software, infrastructure, product, and operations teams to align goals, deliverables, achievements, and schedules.
- Lead cross-functional initiatives involving cloud-native services, platform software, system integration, and release delivery.
- Connect software roadmap execution to full-stack readiness, including dependencies across infrastructure, system bring-up, validation, and downstream operational support.
- Identify cross-functional dependencies, mitigate risks, and drive resolution of complex technical and programmatic issues.
- Establish success metrics and reporting mechanisms to track progress and communicate status to senior leadership.
- Develop and implement metrics for measuring program efficiency and improvement areas.
- Collect and analyze data to support planning and data-driven decisions.
- Drive organizational alignment and efficiency by coordinating with multifunctional leads and streamlining processes across the software development lifecycle.
Requirements
- 8+ years of program management experience, including demonstrated experience managing global projects across multiple time zones.
- Bachelor's degree in Computer Science, Artificial Intelligence, Engineering, or equivalent experience.
- Strong knowledge of software systems, cloud platforms, distributed systems, and contemporary infrastructure environments.
- Proven experience driving complex software programs in fast-paced development environments.
- Strong knowledge of software engineering principles, release procedures, system integration, and platform delivery.
- Ability to understand the broader full stack and work effectively across software, infrastructure, operations, and system bring-up teams.
- Experience managing programs from initial architecture and development through validation, launch preparation, and operational support.
- Proven ability to resolve technical issues and resource conflicts creatively.
- Excellent communication and technical presentation skills.
- Significant experience with large-scale Agile tools, reporting, and processes.
Preferred Qualifications
- Strong background in machine learning, deep learning, and artificial intelligence applications.
- Experience with networking and Kubernetes.
- Understanding of Linux-based systems, cloud infrastructure, and host-based software-defined networking deployments.
- Experience supporting large-scale software stack bring-up, integration, or release readiness.
- Experience working across infrastructure and platform layers to enable modular, composable software systems from bare metal through platform services.
- Familiarity with open-source software delivery, ecosystem preparedness, and platform implementation.
Benefits
- Base salary range of USD 168,000 to USD 258,750, determined by location, experience, and the pay of employees in similar positions.
- Eligibility for equity and benefits.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
Applications will be accepted at least until August 27, 2026. NVIDIA uses AI tools in its recruiting processes.
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