Technical Program Manager - Enterprise Software

About NVIDIA

Our work at NVIDIA is dedicated towards a computing model passionate about visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be astonishingly effective at solving some of the most sophisticated problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. Artificial intelligence is no longer science fiction. And in the next few years, it will transform every industry.

The Opportunity

We are looking for a strong and technical program manager to drive and deliver the Enterprise software releases. This position will give you the best opportunity to showcase your strong program management experience and knowledge of Generative AI innovations, Large Language Models (LLMs) and traditional machine learning (ML).

You will collaborate closely with teams, including engineering and product management for execution and alignment with organizational objectives. In partnership with such diverse stakeholders, you will be responsible for developing robust processes that ensure the successful execution and timely delivering of the software products. Inspect and assess projects’ health; provide input for corrections needed or help raise up issues for quick resolution. The ideal candidate will be comfortable working in a fast-paced environment with changing requirements and have experience in large & complex program management. Excellent communication skills and ability to work independently are critical.

What You'll Be Doing as a Technical Program Manager - Enterprise Software

• Driving the release planning and collaborating with globally distributed Engineering and Product teams.
• Ensuring the overall consistency and coherence of specifications, setting quality standards, and driving quality output of the software releases.
• Speaking objectively and constructively about what is working well and what needs to improve as new processes are developed.
• Ensuring that systems are in place to manage product feedback from customers as well as internal stakeholders.
• Promoting a positive environment across the organization by modeling behavior that promotes good morale.
• Staying current with the state of the art in AI and scientific computing ecosystems.
• Leading a mix of infrastructure, full-stack, and AI/ML solutions.
• Inspiring the team with a sound technical vision and a vitality to execute by creating an inclusive team culture.
• Continuous Improvement: Finding opportunities for process improvements and optimizations. Collaborating to implement standard methodologies, drive efficiency gains, and enhance performance.

What We Need To See

• 5+ years proven track record in technical program management or related roles.
• 3+ years of this experience should be engineering (coding) and machine learning and deep learning software architecture and frameworks.
• Bachelor's degree in Computer Science, Electrical Engineering or other technical field (or equivalent experience).
• Experience leading programs building software products using AI technologies.
• Deep hands-on experience with DL Frameworks (e.g. TensorFlow, PyTorch, etc.). Up to speed on generative-AI advancements.
• Detailed knowledge of software engineering principles.
• Experience with industry standard configuration management tools.
• Experience with productivity tools and process automation.
• Confirmed experience to creatively resolve issues and resource conflicts.
• Ability to think strategically and tactically and to build consensus to make programs successful.
• Excellent knowledge of theory and practice of Generative AI and Large Language Models and specifically with NVIDIA GPUs and software libraries.

Ways To Stand Out In The Crowd

• Strong written and oral communications skills, independent and able to multitask effectively with minimal day-to-day direction.
• Ability to cultivate teamwork among teams composed of both technical and non-technical members.
• Detail oriented with shown ability to multitask, in a dynamic environment with shifting priorities and changing requirements.
• Proven track record to deliver complex products to customers.

Key skills/competency

• Technical Program Management
• Enterprise Software Releases
• Generative AI / LLMs
• Machine Learning / Deep Learning
• Software Engineering Principles
• Cross-functional Collaboration
• Process Improvement
• Stakeholder Management
• DL Frameworks (TensorFlow, PyTorch)
• Configuration Management