Solutions Architect, Generative AI

Details

We are looking for an AI Solutions Architect Engineer with experience in Generative AI software development and deployment. As part of the Solutions Architect organization, we work with the most exciting computing hardware and software, driving the latest breakthroughs in deep learning and AI with NVIDIA’s key customers. This role offers an excellent opportunity to build your career in the rapidly growing field of AI while working with the world's most successful technology companies. Primary responsibilities will be to lead software customer technical engagements with NVIDIA products and technologies.

Responsibilities

• Develop and demonstrate software solutions based on NVIDIA’s groundbreaking AI software and hardware technologies to customers.
• Develop GenAI model pipeline and perform in-depth analysis and optimization to ensure the best performance on current- and next-generation GPU architectures.
• Develop and debug software for NVIDIA and open-source AI frameworks and libraries.
• Lead and develop proof-of-concepts (PoCs) for software solutions applied to Consumer Internet industry use-cases such as NLP/LLM, retrieval, recommender systems by working closely with customers' AI developers.
• Build collateral (notebooks/code) for PoCs.
• Collaborate closely with the business development team, owning the technical relationship and enabling customers to build innovative solutions using NVIDIA technologies.
• Partner with NVIDIA software engineering, product, and sales teams to secure design wins at customers.
• Enable development and growth of NVIDIA product features through customer feedback and PoC evaluations.

Requirements

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields or equivalent experience.
• 5+ years of experience as an AI/Software Engineer with a proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.
• Experience with Generative AI applications and large language model (LLM) training/fine-tuning, inference optimization, and/or retrieval-augmented generation (RAG) pipelines.
• Ability to communicate ideas and code clearly through GitHub and documentation.
• Excellent teamwork and collaboration skills across Engineering/Research, Sales, Product, and Marketing teams.
• Effective verbal and written communication and technical presentation skills.
• Self-starter with passion for growth, enthusiasm for continuous learning, and sharing findings across teams.

Ways to Stand Out

• Experience working with enterprise developers and customer-facing skills.
• Experience with large-scale production data pipelines and AI model training/deployment.
• Knowledge of MLOps technologies such as containers, Kubernetes, and data center deployments.
• Creative problem-solving skills for debugging and complex issues.

The role includes extensive use of conferencing tools; occasional travel is required for local on-site visits to customers and data science conferences. Remote work location is supported.

With highly competitive salaries, a comprehensive benefits package, and an excellent engineering work culture, NVIDIA is widely considered one of the technology industry’s most desirable employers. NVIDIA has some of the most innovative people working on meaningful problems defining the fields of machine learning, deep learning, data science, robotics, and graphics.