Senior Technical Program Manager, ML Software

Technical Program ManagerTechnical Program ManagerFull TimeRemoteSeniorTeam 10,001+Since 1993H1B SponsorCompany SiteLinkedIn

Location

California

Posted

5 days ago

Salary

$168K - $258.8K / year

Seniority

Senior

Bachelor Degree10 yrs expEnglishSwitching

Job Description

Senior Technical Program Manager, ML Software

NVIDIA

• 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 • 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 and 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 and moderate technical discussions to successful conclusions • Act as liaison between developers and customers, between technical and non-technical audiences and cultivate a culture of continuous improvement, finding opportunities for process enhancements

Job 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, 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 strong problem-solving and conflict management skills
  • In-depth understanding of software engineering principles and quality requirements in enterprise systems and experience in AI training environments and resource capacity planning
  • Strong multitasking abilities with a focus on thoroughness and rapid context switching with knowledge of agile methodologies and tools, project planning, and task tracking tools
  • Excellent organizational skills and ability to use project management tools (e.g. Jira, Aha!, Confluence) and distributed version control systems (e.g. Git)

Benefits

  • equity
  • benefits

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