Company
SeniorTechnicalProgramManager,DeepLearningSoftware
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“Senior Technical Program Manager, Deep Learning Software. Skills: Technical Program Management, Deep Learning Software, Gen AI models, Agile methodologies, Software Engineering Principles. lead software initiatives. develop Gen AI models”
What You'll Achieve.
meet key business objectives; measuring program effectiveness and improvement areas; data driven decisions; organizational alignment and efficiency; driving process improvements and measuring efficiency; driving complex projects end-to-end
Industry & Context.
problem-solving; conflict management; handling of critical and blocking issues; moderate technical discussions to successful conclusions
What They're Looking For.
Must Have
demonstrated program management expertise, mastery of technical and management practices, proven ability managing global projects, adaptable to multiple time zones, 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 with problem-solving and conflict management skills, In-depth understanding of software engineering principles and quality requirements in enterprise systems, 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)
Nice to Have
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 in the management of 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
What You'll Do.
lead software initiatives
develop Gen AI models
guide engineering programs
meet key business objectives
manage programs in all aspects – planning
multi-faceted prioritization
management of dependencies
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
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
How You'll Work.
Team & Collaboration
Engage with cross-company partners to plan programs and coordinate teams; Work with multi-functional matrixed teams; coordinate with multi-functional leads; Act as liaison between developers and customers, between technical and non-technical audiences
Communication Scope
Exceptional communication and presentation skills for diverse technical and non-technical audiences
Process & Methodology
program management, planning, forecasting, documenting, scheduling, effective meetings, multi-faceted prioritization, management of dependencies, reporting, handling of critical and blocking issues, agile methodologies, metrics for measuring program effectiveness, data analysis, organizational alignment, streamlining processes, project planning, task tracking tools, resource capacity planning, release management, project management tools
Full Job Description
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 the best industry processes well suited to our fast pace and rapidly expanding roadmap. **What You 'll Be Doing: ** * 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 **What We Need To See:** * 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, adaptable to multiple time zones * Demonstrated skill in engaging and moderating successful engagements with engineering
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