Nvidia Technical Product Manager – NVIDIA Enterprise Platform Software 

United States, California 

800070118

What you’ll be doing:

• Work cross-functionally to guide products from conception to launch by connecting the technical and business worlds.

• Engage with NVIDIA OEM partners to integrate and certify their solutions with NVIDIA's Enterprise platform offerings.

• Work with NVIDIA partners to define, prioritize and drive execution of NVIDIA's enterprise platform strategy.

• Define the software specifications for datacenter cluster deployments for various AI, Graphics and HPC workloads.

• Define Software Reference Architecture roadmap with NVIDIA OEM partners to showcase NVIDIA innovations and groundbreaking technologies.

• Create Performance Benchmarking reports for comparative analysis of various GPUs, systems, and solutions for right-sized deployments at scale.

• Work with internal product teams to develop and improve functionality for NVIDIA platform software products.

• Lead the business, product & platform strategy, and planning activities to enable NVIDIA products on OEM enterprise platforms.

• We need you to help develop messaging and marketing activities appropriate to the value proposition of the product. Train sales resources and channels, both internal and external to the company.

• Analyze and evaluate NVIDIA partners products and technologies with the goal to integrate NVIDIA’s infrastructure software with partner’s management offerings.

What we need to see:

• Bachelor’s or equivalent experience in computer science or similar field.

• Prior experience (10+ years) working in cross-functional teams, ideally in hardware and software solution product management.

• Strong background in AI/Machine Learning/Deep Learning/Container Technologies.

• Hands on experience with leading Cloud Native technology, MLOps products.

• Experience developing and deploying Enterprise AI applications and workflows preferred.

• Excellent communication and presentation abilities.

• Passion to evangelize exciting new technologies.

• Demonstrates strong analytical and critical thinking skills. A drive for results and a history of successful execution on projects.

• Ability to travel up to 25%.

Ways to stand out from the crowd:

• History of working with OEM platform companies & understanding of virtualization technologies(VMware/KVM/Microsoft).

• Experience in Data Science, Deep Learning, MLOps and Container products and technologies

• Experience with AI accelerated enterprise applications.

• Background with various Cluster Management software.