Deep Learning is an exciting new area of machine learning. To bring AI to life, neural networks need to be trained and deployed with domain specific knowledge. Training and inference runs inside applications in the datacenter or at the edge, such as in automobiles, drones, medical devices, and more. Some of the common applications using NVIDIA deep learning software are image classification, object detection, recommendations, conversational virtual assistants, and reinforcement learning. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody!
As the Nemo Microservices Software Product Manager for Large Language Models, you will lead key pieces of NVIDIA's portfolio of software that are enabling state of the art accuracy and performance for neural networks across data curation, model customization, and guard rails. Creating microservices will extend the reach of popular Nemo software used by Enterprises, researchers, and developers. You will engage with customers, define products and roadmaps, develop business strategy, devise market positioning, and take your products to market. 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.
What you'll be doing:
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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 product
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Market intelligence: Understand the developers, partners, and competitors
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Build and Deliver: Collaborate with engineering to promote the customer's needs through setting feature priorities across roadmaps
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Sense and Respond: Work closely with customers, build surveys, present at conferences, understand product quality and supervise critical bugs
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Marketing 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 proposition
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Product launches: Define the go-to-market strategy and provide guidance to the cross-functional implementation of the plan across marketing, public relations, and sales.
What we need to see:
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BS or MS in Computer Science, Engineering, or other technical field (or equivalent experience). MBA is a plus.
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12+ years of technical product management, or similar, experience at a technology company
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Passion for delivering software, libraries and SDKs
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Proven track record of teamwork across teams, customers, and partners
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Outstanding interpersonal and public communication skills with a shown ability to articulate a value proposition to technical and non-technical audiences
Ways to stand out from the crowd:
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Experience working with Large Language Models, specifically with curating data, training or fine-tuning, and using guard rails for topical content generation, eliminating insecure generation requests, and helping guide safety content
NVIDIA is widely considered one of the technology world’s most desirable employers. We have some of the world's most forward-thinking and hardworking people on our team. If you're creative and autonomous, we want to hear from you!
#LI-Hybrid
The base salary range is 208,000 USD - 379,500 USD. 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 accepts applications on an ongoing basis.
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.
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.”
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