About the role
As a Senior Technical Program Manager at NVIDIA's R&D Center, 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 and other teams to deliver solutions that shape the future of accelerated computing and AI.
What you’ll be doing:
Program Ownership. Lead 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 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. 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, NVBugs, Confluence; 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:
Background in AI, GPU, or high-performance computing domains.
Experience as a software developer.
Experience with productivity tools and process automation.
Ability to develop/enhance automation using AI tools for program efficiency.
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
