Product Manager, Platform Benchmarking

NVIDIA•Us, CA

About The Position

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Achieving what has never been accomplished before requires foresight, creativity, and the finest talent worldwide. As an NVIDIAN, you’ll be part of a diverse, encouraging environment where everyone is motivated to perform at their highest level. Come join the team and see how you can make a lasting impact on the world! Are you ready to join a team leading AI innovation? At NVIDIA, we revolutionize computing with our GPU technology. Our GPUs power brand-new applications in autonomous vehicles, healthcare, and voice-recognition systems. As the Product Manager for Platform Benchmarking, you will have an outstanding opportunity to help AI developers and infrastructure admins simplify their work. You will enable them to deliver next-generation AI applications magnificently.

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience
More than 2 years of applicable professional experience in software development or product management within a technology firm
Solid understanding of programming techniques and software development
Proven analytical, marketing, and project management skills, with a history of successful project execution
Excellent balance of technical and business knowledge
Self-starter with a hands-on approach in a dynamic environment
Outstanding communication and presentation abilities
Passion for building extraordinary products and technologies
Experience leading multiple projects simultaneously

Nice To Haves

Skilled in software development or data engineering
Background in Machine Learning Operations (MLOps)

Responsibilities

Develop a product vision to encourage your team and build a product strategy to achieve it
Collaborate with engineers and researchers to craft and architect platform software for end customers, bringing a product perspective
Gather requirements for next-generation products, conduct competitive analysis, and incorporate customer feedback
Define use cases, examples, and tools to convey the product value proposition to diverse audiences, from the technically savvy to novices
Partner with engineering, build, operations, sales, and marketing teams to drive new product introductions and transitions
Educate current and potential customers, promoting the product and its advantages
Develop and review customer-ready collateral based on technical documents, such as whitepapers and product specifications