Nvidia Senior Technical Program Manager AI SW ML Products 

United States, Texas 

692607618

What You'll Be Doing:

• Engage with cross-company teams (hardware/software engineering, product) to plan and coordinate programs 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.

• Collaborate with hardware program managers and engineering teams to implement inference libraries on existing and new hardware.

What We Need To See:

• Postgraduate degree in Computer Science or Artificial Intelligence or equivalent experience.

• 10+ years program management experience including proven ability managing global projects, adaptable to multiple time zones.

• Ability to think strategically and tactically and to build consensus to make programs successful.

• Proven experience to creatively resolve technical issues and resource conflicts.

• Thorough working knowledge of software engineering best practices and hardware bring-up.

• You should be detail oriented with shown ability to multitask, in a dynamic environment with shifting priorities and changing requirements.

• We need you to have hands-on experience with a fast-paced software development environment.

• Excellent communication and technical presentation skills.

• Having extensive experience with At Scale Agile tools, reporting, and process in support of this role is required.

• Demonstrated skill in engaging and moderating successful engagements with engineering and product teams.

Ways To Stand Out From The Crowd:

• Background in Computer Science, Machine Learning, Deep Learning, open-source Software, infrastructure technologies, and GPU technology.

• Strong background in Machine Learning, Deep Learning, and Artificial Intelligence applications.

• Prior experience in software-hardware bring-up, production application software development, release management.

• Prior experience in the management of hardware and software development including all stages involved.

• Consistent track record of driving process improvements and measuring efficiency.