Deep Learning Solutions Architect

2 months ago

Shanghai, Shanghai, China NVIDIA Full time
About the Role

NVIDIA is seeking a highly skilled Solutions Architect to collaborate with our largest global alliance partners and enable them with our portfolio of GPU Accelerated Computing solutions, specifically Generative AI and Machine Learning.

This individual will be a technical data science and accelerated computing platform advisor, responsible for architecting and creating prototypes, building, pre-training, fine-tuning, and p-tuning LLMs, and finding the best deployment scenarios for customers.

Key Responsibilities
  • Design and implement Proof of Concept and Demos that require presentation skills, explanation of complex topics, writing Python code to execute data pipelines and train ML/DL models, and deploy on container-based orchestrators.
  • Stay up-to-date on the state of the art in the production Deep Learning and Machine Learning ecosystem and help architect and scale high-performance, distributed AI deployments built on the latest NVIDIA GPU supercomputers.
  • Document knowledge and guide others through building targeted training for partners and other Solutions Architects, writing whitepapers, blogs, and wiki articles, and working through challenging problems with a partner on a whiteboard.
  • Provide mentorship and answer questions, working with Partner Business Managers to assist partners and customers on their mission-critical projects and help them build their GPU-enabled Accelerated Compute datacenters and get the most out of their investment.
  • Utilize conferencing tools and travel as needed to collaborate with partners and customers.
Requirements
  • 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.
  • Ability to multitask effectively in a dynamic environment.
  • 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.
Preferred Qualifications
  • Extensive knowledge and hands-on experience with recent advancements in LLMs and GenAI.
  • Experience developing with ML/DL frameworks and MLOps ecosystem of partners and solutions in the cloud and on-prem.
  • Background with cloud-based solution designing, APIs, and Microservices, orchestration platforms, storage solutions, and data migration techniques.
  • Experience or good knowledge of server architectures, PCIe topologies, Infiniband, and other networking technologies and Operating systems.
  • Ability to dig into unfamiliar territories to tackle complex problems and be a great listener.
About NVIDIA

NVIDIA is widely considered to be one of the technology world's most desirable employers, with a team of forward-thinking and hardworking individuals who are passionate about innovation and excellence.

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