The Developer Relations Manager for Robotics and Generative AI will collaborate with developers, integrate GPU solutions, and identify adoption barriers in AI. Responsibilities include project management, building networks, and driving product adoption in AI workflows.

The Enterprise PR Manager will develop and execute communication strategies to enhance NVIDIA's reputation, manage media relationships, and lead external communications in Southeast Asia and ANZ.

As a Senior Solutions Architect, you will lead AI research projects, mentor team members, and collaborate with academia and industry to implement NVIDIA technologies and promote AI solutions.

The role involves working with ISVs and SPs to integrate NVIDIA's GPU solutions, driving AI adoption, project management, and collaboration with various stakeholders.

The role involves maintaining large-scale HPC/AI clusters, developing CI/CD pipelines, and automating deployment and management of infrastructure environments.

Manage hackathons and bootcamp training events across APAC, overseeing logistics, data management, and partner engagement in a dynamic environment.

The Developer Relations Manager for Quantum Computing will lead partnerships, drive SDK adoption, engage developers, and evangelize NVIDIA's quantum computing platform.

The role involves deploying and managing AI/HPC infrastructure in Linux environments, providing customer support, and collaborating on large-scale AI projects.

The Solutions Architect will lead technical sales activities, design AI solutions, support pre-sales activities, and conduct workshops, primarily focused on generative AI and LLMs.

As a Solutions Architect, you'll design and develop AI applications, support customers with cloud native tech, and training, while collaborating with internal and external teams.

The Solutions Architect will lead technical sales for NVIDIA's AI solutions, focusing on generative AI and Large Language Models, while collaborating with teams, conducting workshops, and supporting regional customers.

Design, configure and deploy AI training and inference solutions in cloud environments, addressing customer needs, and operationalizing AI at scale.

This role involves developing marketing strategies and campaigns to engage developers, recruiting startups, and driving attendance to training programs.

Join NVIDIA Research to develop generative AI models, publish research, mentor interns, and collaborate with teams while enhancing GPU-accelerated AI computing.