Senior Technical Program Manager, AI SW and ML Products

The AI Platform Inference Team is looking for a Technical Program Manager to lead initiatives and programs focused on Deep Learning Inference, with the goal of supporting NVIDIA's top AI Inference researchers and engineers in driving the future of deep learning. This position requires managing engineering programs using industry-leading processes to navigate an active and evolving roadmap. The manager will work alongside senior management and coordinate efforts with partners across the company to ensure alignment and exceptional execution. They will engage closely with our software, hardware, and tooling teams to foster strong engineering collaborations. Furthermore, they will develop and standardize planning, reporting, and execution practices and metrics to achieve ambitious objectives in a rapidly changing environment.

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.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD - 253,000 USD for Level 4, and 192,000 USD - 304,750 USD for Level 5.Applications for this job will be accepted at least until August 10, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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