To bring AI to life, neural networks need to be trained and deployed for inference running 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 LLMs, Generative AI, Recommender Systems, Conversational virtual assistants. NVIDIA is at the forefront helping advance the latest research and product improvements for everybody! To enable AI researchers and developers to keep pace with this dynamic field, we seek a technical product manager who understands the deep learning software stack and ecosystem.

TensorRT is an inference optimizer and runtime for deployment of deep learning models. As a product manager, you will build roadmaps, stay alert on competitive solutions, and continuously improve the product with new optimizations, features and enhanced usability. 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're looking for the rare blend of both technical and product skills and passion about groundbreaking technology. If this fits, we would love to learn more about you!

What You'll be Doing:

• Develop product strategy and go-to-market plans

• Collaborate with internal and external deep learning engineers and researchers to build product-based roadmaps for inference software

• Talk and survey customers on their pain points to ensure we build delightful solutions

• Help channel customer usability feedback from the external community back to the internal teams to improve NVIDIA products

• You will be the evangelist and champion for MLOps developer community to promote our platform

What We Need to See:

• BS or MS degree in Computer Science, Computer Engineering, or similar field or equivalent experience

• 5+ years of technical product management, or similar, experience at a technology company

• 3+ year of experience with deep learning or machine learning

• Strong knowledge programming techniques, and software development

• Strong communication and interpersonal skills

Ways to Stand Out from the Crowd:

• Direct development experience using inference optimization software such as TensorRT, OpenVINO and ONNX Runtime

• Familiarity with frameworks, such as PyTorch, JAX and TensorFlow and Deep Learning Compilers such as XLA, Inductor, TVM

• Understanding of the state of the art deep learning model algorithms

• Knowledge of GPU architecture, HW/SW co-design and performance profiling

The base salary range is 108,000 USD - 218,500 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 (https://www.nvidia.com/en-us/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.

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NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society.

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