Deep Learning is an exciting area of machine learning. Inference serving focuses on the deployment of deep learning neural networks into production environments where companies depend on the accuracy of the neural network and reliability of the software stack to increase revenue and reduce costs. Common applications using Nvidia software for deep learning inference are generative AI across text, images, videos, as well as recommendation systems and conversational virtual assistants.Triton Inference Server is an Enterprise grade software stack used by tens of thousands of companies to provide the best experience, both in terms of performance and ease of use. As a leader and trusted adviser, NVIDIA optimizes the latest research and provides guidance for successful deep learning inference deployments. As a Senior Deep Learning Inference Serving Product Manager, you will lead key pieces of NVIDIA's portfolio of software that are enabling state-of-the-art accuracy and performance for neural networks. You will engage with customers, define products and roadmaps, develop business strategy, devise market positioning, and take your products to market. You will have the ability to adapt strategies to changing business environments, along with a strong background in deep learning, production deployments, and programming SDKs.The Product Management organization is a small, strong, and sought after group both inside and outside of NVIDIA as our team is passionate about deep learning use cases to drive the company's strategy. We need a self-starter to continue to grow this area and work with customers who are helping define the future of AI. We're looking for the rare blend of both technical and product skills who are passionate about groundbreaking technology. If this fits, we would love to learn more about you!What you'll be doing:Define and Prove: Collect insights and build market analysis that provides the data to enter or change new markets through a clear value proposition for the productMarket Intelligence: Understand the developers, partners, and competitorsBuild and Deliver: Collaborate with engineering to promote the customer's needs through setting feature priorities across roadmapsSense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugsMarketing Content Creation: Work with marketing to define positioning that enables the creation of technical content, including blog posts, webinars, developer tutorials, and more to communicate the product value propositionProduct Launches: Define the go-to-market strategy and provide guidance to the cross-functional implementation of the plan across marketing, public relations, and salesWhat we need to see:BS or MS in Computer Science, Engineering, or other technical field or equivalent experience (MBA is a plus)12+ years of technical product management, or similar, experience at a technology companyPassion for delivering software, libraries and SDKsConsistent track record of collaboration across teams, customers, and partnersExtraordinary interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiencesWays to stand out from the crowd:Experience deploying deep learning neural networks into production environments, using Triton Inference Server, and/or using Deep Learning Frameworks.The base salary range is $236,000 - $368,000. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.You will also be eligible for equity and benefits.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning
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