Solutions Architect

We are looking for a Machine Learning Engineer/Solution Architect with experience in deploying Machine Learning (ML), Deep Learning (DL) models on prem and in the cloud. As part of the Solution Architecture organization, we work with the most sophisticated computing hardware and software, driving the latest breakthroughs in deep learning and machine learning with NVIDIA’s enterprise customers. This role offers an excellent opportunity to build your career in the rapidly growing field of deep learning while enabling the world's most successful technology companies.

Primary responsibilities will be to lead software/application customer technical engagements around NVIDIA products and technologies. Join us in this exciting endeavor!

• A considerable part of the day-to-day job is staying up on pioneering Deep Learning and Machine Learning ecosystems. You'll be called on to help architect and scale high-performance, distributed AI deployments on-prem or in the cloud that are built with the latest NVIDIA GPU supercomputers.
• Document what you know and teach others. This can vary from building targeted training for partners and other Solutions Architects to writing whitepapers, blogs, and wiki articles, to working through challenging problems with a partner on a whiteboard.
• Answer questions and provide mentorship. Work with Partner Business Managers to assist partners and customers on their critical projects. You will assist them in building AI-accelerated data centers by leveraging GPU and DPU capabilities, ensuring optimal returns on their investment.
• Lead and develop proof-of-concepts (PoCs) for solutions applied to enterprise and industrial applications such as LLM, RAG, recommender systems and image recognition using ML/DL frameworks.
• Support the business development team through the sales process for GPU/DPU/Network hardware/software products. Responsible for technical relationships and enabling customers in building innovative NVIDIA technology solutions.
• Partner with NVIDIA Engineering, Product, Sales teams to secure design wins ble development and growth of NVIDIA product features through customer feedback and PoC evaluations.

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 5+ years of work-related experience in Deep Learning and Machine Learning, including deep learning frameworks Tensor Flow, PyTorch and Lang Chain with GPU and CUDA experience being extremely advantageous.
• Experience working with Dev Ops on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments,
• Deep understanding of dense data-center design including compute, storage, networking, cloud APIs and IaaS.
• 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 and coordinate across cross-functional teams in engineering, sales, marketing, product, and program management.
• Comfortable working in a customer-facing environment.
• Self-starter with a passion for growth, enthusiasm for continuous learning and sharing findings across teams.

• External customer-facing skill-set and background.
• Skilled in deploying ML/DL models at scale on cloud computing clusters in production.
• Development experience with NVIDIA software libraries and GPUs or DPUs.
• Knowledge of MLOps, Dev Ops and Cloud oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments etc.
• Knowledge of MLPerf, LLM, RAG, AWS, Azure or GCP.

We make extensive use of conferencing tools, but occasional travel is required for a local on-site visit to customers and data science conferences. We are excited to have you join our team! With highly competitive salaries, a comprehensive benefits package, and an excellent engineering culture, NVIDIA is widely considered to be one of the technology industry's most desirable employers. NVIDIA has some of the most innovative people working on meaningful…