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.
Skills Required
- Bachelor of Science degree in a technical field such as Computer Science, Software Engineering, or a related discipline
- 8 or more years of experience in technical program management or related roles
- Proven success leading large-scale programs
- Strong understanding of software and hardware development lifecycles, system architecture, and design principles
- Familiarity with Jira, Confluence, or similar task-tracking systems
- Experience with Agile and PLC methodologies
- Exceptional verbal and written communication, stakeholder engagement, and problem-solving skills
- Ability to influence without authority and lead cross-functional teams toward shared goals
- Ability to balance short-term execution with long-term strategic improvements
- Master of Science degree in a technical field
- 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 Jira, Confluence, issue trackers, CI/CD systems, and enterprise knowledge repositories
- Knowledge of AI agentic frameworks, deep learning algorithms, AI tools, and AI methodologies
- Ability to develop or enhance automation using AI tools
- Background in AI, GPU, or high-performance computing domains
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”








