Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Software Development @ 4
DevOps @ 4
Machine Learning @ 4
Communication @ 7
Git @ 6
Prioritization @ 4
Jira @ 6
Project Management @ 6
Reporting @ 4
Agile @ 4
GPU @ 4
Deep Learning @ 4
AI @ 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
The Deep Learning Software Team is seeking a Senior Technical Program Manager to lead software initiatives and develop Gen AI models enabling NVIDIA’s most advanced AI researchers and engineers to create the future of computing. This leader will guide engineering programs using industry processes suited to a fast pace and rapidly expanding roadmap.
Responsibilities
- Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.
- Guide engineering programs in all aspects of program management: planning, forecasting, documenting, scheduling, running effective meetings, multi-faceted prioritization, management of dependencies, reporting, and handling critical and blocking issues.
- Guide engineering teams in the use of agile methodologies.
- Develop and implement metrics for measuring program effectiveness and identifying improvement areas; collect and analyze data to support planning and data-driven decisions.
- Report on overall program status, providing insights and recommendations to senior management.
- Drive organizational alignment and efficiency by coordinating with multi-functional leads and streamlining processes.
- Work with multi-functional matrixed teams.
- Guide teams designing for advanced, complex, competing, and often conflicting customer requirements.
- Moderate technical discussions to successful conclusions.
- Act as liaison between developers and customers, and between technical and non-technical audiences.
Requirements
- Bachelor’s degree (or equivalent experience) in a related field with demonstrated program management expertise and mastery of technical and management practices.
- 10+ years program management experience including proven ability managing global projects and adapting to multiple time zones.
- Demonstrated skill engaging and moderating successful engagements with engineering partners and vendors.
- Exceptional communication and presentation skills for diverse technical and non-technical audiences; strong problem-solving and conflict management skills.
- In-depth understanding of software engineering principles and quality requirements in enterprise systems.
- Strong multitasking abilities with a focus on thoroughness and rapid context switching.
- Knowledge of agile methodologies and tools, project planning, and task tracking tools.
- Experience in AI training environments and resource capacity planning.
- Proactive in identifying and implementing efficient changes in software engineering and release management.
- Excellent organizational skills and ability to use project management tools (e.g., Jira, Aha!, Confluence) and distributed version control systems (e.g., Git).
Ways To Stand Out From The Crowd
- Background in computer science, machine learning, deep learning, open source software, and GPU technology.
- Prior experience in production application software development, release and support methodology, and DevOps.
- Prior experience managing customer workflows using large scale distributed computing and working with AI researchers or directly training and evaluating AI models.
- Consistent track record of driving process improvements and measuring efficiency.
- A passion for sharing knowledge and experience driving complex projects end-to-end.
Compensation & Benefits
- Base salary ranges: Level 4: 168,000 USD - 258,750 USD; Level 5: 200,000 USD - 322,000 USD.
- Eligible for equity and benefits (link to NVIDIA benefits provided in the original posting).
Additional Information
- Applications accepted at least until June 16, 2026.
- This posting is for an existing vacancy.
- NVIDIA uses AI tools in its recruiting processes.
- NVIDIA is an equal opportunity employer and commits to fostering an inclusive work environment.
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