Deep Learning Solutions Architect
3 weeks ago
NVIDIA is seeking a highly skilled Solutions Architect to collaborate with our largest global alliance partners in leveraging our portfolio of GPU Accelerated Computing solutions, including Machine Learning and Deep Learning, specifically Generative AI. This individual will be 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:
- Designing and implementing 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 deploying on container-based orchestrators.
- Staying up-to-date on the state of the art in the production Deep Learning and Machine Learning ecosystem and helping to architect and scale high-performance, distributed AI deployments built on the latest NVIDIA GPU supercomputers.
- Documenting knowledge and guiding 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.
- Providing mentorship and answering questions, working with Partner Business Managers to assist partners and customers on their mission-critical projects, and helping them build their GPU-enabled Accelerated Compute datacenters and get the most out of their investment.
- Utilizing conferencing tools and requiring some travel for this role, with the freedom to find the best way to get the job done and make our partners successful.
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 extremely helpful.
- Experience working with DevOps, including but not limited to 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.
- Willingness and ability to dig into unfamiliar territories to tackle complex problems and be a great listener.
NVIDIA is a leader in the technology world, and we have some of the most forward-thinking and hardworking individuals in the world working for us. If you're creative and autonomous, we want to hear from you.
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