AI Solutions Architect

2 weeks ago

Shanghai, Shanghai, China NVIDIA Full time
Job Description

NVIDIA is seeking an experienced Solutions Architect or Data Scientist to collaborate with our largest global alliance partners. This role requires a passion for working with cutting-edge AI and Accelerated Computing technologies, specifically Generative AI.

The successful candidate will be a technical advisor to our partners, architecting and creating prototypes, building, pre-training, fine-tuning, and p-tuning LLMs, and identifying optimal deployment scenarios for customers.

The ideal candidate will be self-driven, excellent in communication and partnership, and able to multitask effectively in a dynamic environment. Strong analytical and problem-solving skills are essential, along with the ability to effectively collaborate with management and engineering.

Responsibilities will include creating or running Proof of Concept and Demos, keeping up-to-date with the latest advancements in Deep Learning and Machine Learning, and helping to architect and scale high-performance, distributed AI deployments.

A key aspect of this role will be documenting knowledge and guiding others through training, whitepapers, blogs, and wiki articles. The successful candidate will also provide mentorship and answer questions, working with Partner Business Managers to assist partners and customers on their mission-critical projects.

This role requires extensive knowledge and hands-on experience with recent advancements in LLMs and GenAI, as well as experience developing with ML/DL frameworks and MLOps ecosystems. Strong cloud-based solution designing skills, APIs, microservices, orchestration platforms, storage solutions, and data migration techniques are also essential.

NVIDIA is a forward-thinking and hardworking company, and we are seeking creative and autonomous individuals to join our team.

  • BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
  • 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks TensorFlow or PyTorch, GPU and CUDA experience highly desirable
  • Experience working with DevOps, including Docker/Containers, Kubernetes, and Data Center deployments
  • Deep understanding of dense datacenter design, including compute, storage, and networking
  • Strong analytical and problem-solving skills
  • Clear written and oral communication skills with the ability to effectively collaborate with management and engineering
  • Strong desire to share knowledge with clients, partners, and co-workers

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