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Senior Technical Program Manager - Multimedia Team

NVIDIA
India, Pune
Full-time
You apply on NVIDIA's own careers site

Lead multimedia programs from planning through release, coordinating software engineering, product management, OEMs, and other stakeholders. The role focuses on execution, technical alignment, risk management, and improving program health for audio and video technologies.

Permanent
On-site
8+ years
Bachelor's Degree in a technical field; Master's preferred

Skills & Expertise

Technical program management
Jira
Confluence
Agile
PLC methodologies
Multimedia technologies
Audio and video
Root-cause and corrective action

Key Responsibilities

Own multimedia programs from planning through release, tracking milestones, quality, and feedback.

Coordinate engineering, product, OEM, and stakeholder decisions while resolving technical risks.

Maintain execution plans and health metrics, and drive root-cause corrective actions.

Full Description

As a Senior Technical Program Manager at NVIDIA you will act as the bridge between strategy, execution, and technical alignment, driving complex programs end-to-end.

This role demands strong technical acumen, exceptional program management skills, and the ability to influence without authority across a dynamic, matrixed organization. You will collaborate across software engineering, product management, OEMs and other teams to deliver solutions that shape the future of accelerated computing, with focus on Multimedia technologies (audio and video).

What you’ll be doing:

• Program Ownership. Lead multimedia programs from inception to delivery, ensuring timelines, milestones, and quality standards are met. Manage release checklists, post-release feedback, and continuous improvement initiatives.

• Maintain and continuously improve program plans; ensure project focus and execution against commitments.

• Create and maintain metrics that track execution effectiveness and program health.

• Technical Leadership: Deep dive into product architecture and design; maintain curiosity and technical proficiency. Collaborate with engineering teams to resolve technical challenges and optimize solutions.

• Stakeholder Management: Communicate decisions, progress, and risks clearly to stakeholders, customers at all levels. Build trust and influence across cross-functional teams.

• Strategic Thinking & Risk Management: Identify and mitigate risks proactively to prevent delays and cost overruns. Drive RCCA (Root Cause and Corrective Action) and ensure gaps are closed effectively.

• Communication & Information Management: Deliver precise, tailored information for diverse audiences and higher management. Consume complex data and bring clarity to discussions for actionable outcomes.

• Complex programs with significant business impact. Deep technical expertise combined with advanced program management skills. Direct influence on strategic decisions and organizational success.

What we need to see:

• BS in a technical field (MS preferred) such as Computer Science, Software Engineering, or related discipline.

• 8+ years in technical program management or related roles, with proven success in leading large-scale programs.

• Technical Expertise: Strong understanding of software/hardware development lifecycles, system architecture, and design principles. Familiarity with tools like Jira, Confluence, and similar task tracking systems; experience with Agile and PLC methodologies.

• Soft Skills: Exceptional communication (verbal and written), stakeholder engagement, and problem-solving skills.

• Leadership: Ability to influence without authority and lead cross-functional teams toward shared goals. Ability to balance short-term execution with long-term strategic improvements.

Ways to stand out from the crowd:

• Deep knowledge of multimedia technologies, including audio, video, media frameworks, codecs, streaming, A/V synchronization, drivers, firmware, and operating-system integration.

• Experience creating or deploying AI copilots and agents integrated with engineering and program-management systems such as Jira, Confluence, issue trackers, CI/CD systems, and enterprise knowledge repositories.

• Knowledge in AI agentic frameworks, deep leaning algorithms, AI tools and methodologies

• Ability to develop/enhance automation using AI tools for program efficiency.

• Background in AI, GPU, or high-performance computing domains.

Applications are handled on NVIDIA's site