NVIDIA · 5 hours ago
Senior Technical Program Manager, Models
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Artificial Intelligence (AI)GPU
Growth OpportunitiesH1B Sponsor Likely
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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, effective meetings, multi-faceted prioritization, management of dependencies, reporting, and effective handling of critical and blocking issues
Guide engineering teams in the use of agile methodologies
Develop and implement metrics for measuring program effectiveness and improvement areas, collect and analyze data in support of 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, between technical and non-technical audiences
Cultivate a culture of continuous improvement, finding opportunities for process enhancements.
Qualification
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Required
Bachelors degree (or equivalent experience) in a related field.
15+ years program management experience including proven ability managing global projects, adaptable to multiple time zones.
Demonstrated program management expertise and mastery of technical and management practices.
Demonstrated skill in engaging and moderating successful engagements with engineering partners and vendors.
Exceptional communication and presentation skills for diverse technical and non-technical audiences.
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 AI training environments and resource capacity planning.
Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management.
Preferred
Background in computer science, machine learning, deep learning, open source software, infrastructure technologies, and GPU technology.
Prior experience in infrastructure software, production application software development, software development, release and support methodology and devops.
Prior experience in the management of customer workflows using large scale distributed computing and working with AI researchers or directly training 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.
Benefits
Equity and benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity· Undisclosed
Recent News
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