Senior Platform Program Manager, Inference

$188,000 - $356,500/Yr

Nvidia - Santa Clara, CA

Full-time - Senior

Santa Clara, CA

Computer and Electronic Product Manufacturing

About the position

The Senior Platform Program Manager for Inference at NVIDIA is responsible for leading initiatives and programs focused on Deep Learning Inference. This role supports NVIDIA's top AI Inference researchers and engineers, managing engineering programs through industry-leading processes to navigate an evolving roadmap. The manager will coordinate efforts across various teams to ensure alignment and exceptional execution, fostering strong engineering collaborations and developing standardized practices for planning and reporting.

Responsibilities

• 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.

Requirements

• 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.
• Detail-oriented with shown ability to multitask in a dynamic environment with shifting priorities and changing requirements.
• Hands-on experience with a fast-paced software development environment.
• Excellent communication and technical presentation skills.
• Extensive experience with At Scale Agile tools, reporting, and process in support of this role.
• Demonstrated skill in engaging and moderating successful engagements with engineering and product teams.

Nice-to-haves

• 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.

Benefits

• Equity and benefits eligibility.