Senior TPM, Deep Learning Frameworks — Equity Eligible

NVIDIA; Colorado; On-site; USD 168,000 - 322,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks. You will support AI researchers and engineers by navigating a dynamic roadmap and coordinating across hardware, software, and infrastructure teams.

Responsibilities include planning, forecasting, reporting, and implementing standard processes for open-source contributions and releases. Strong communication and multi-time-zone collaboration are essential for success.

Qualifications

• Postgraduate degree in Computer Science, AI, Mathematics or equivalent experience.
• 10+ years software program management experience.
• Proven experience delivering large software programs across multiple layers of the stack.
• Ability to build consensus and drive cross-functional engagement.
• Excellent communication and presentation skills, with strong attention to detail.
• Proficient with Jira, Aha!, Confluence and Git.

Responsibilities

• Collaborate with hardware, software, and model program managers and engineers to deliver DL Frameworks programs.
• Coordinate release scope, milestones, risk management, and dependencies across teams.
• Manage planning, forecasting, documentation, scheduling, and meetings; handle blocking issues.
• Develop metrics to measure program effectiveness and support data-driven decisions.
• Define processes for open-source contribution and release management within NVIDIA ecosystem.
• Report program status and provide insights to senior management.
• Drive alignment and streamline processes across multi-functional leads.

Skills

Program management

Time-zone coordination

Strategic planning

Stakeholder management

Education

Postgraduate degree in CS/AI

Tools

Jira

Aha!

Confluence

Git

Job description

NVIDIA is seeking a Technical Program Manager to lead software programs for Deep Learning Training and Inference Frameworks. You will support AI researchers and engineers by navigating a dynamic roadmap and coordinating across hardware, software, and infrastructure teams.

Responsibilities include planning, forecasting, reporting, and implementing standard processes for open-source contributions and releases. Strong communication and multi-time-zone collaboration are essential for success.