NVIDIA is looking for a talented AI Solutions Engineer to join our innovative AI team. The team is developing cutting-edge AI applications including: Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) implementations, large scale AI Agents, MCPs, recommendation engines, classical AI models such as clustering, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project – AI, code, data preparation, evaluation, and deployment.We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field.
What you'll be doing:
- Design and implement RAG systems to enhance knowledge retrieval across company resources
- End-to-end solutions Implementation to increase the organization quality and productivity.
- Develop AI solutions that integrate seamlessly with existing products and workflows
- Build evaluation frameworks to measure and improve AI system performance
- Collaborate with cross-functional teams to identify and implement AI opportunities
- Collect and prepare data from multiple large scale sources for AI training and inference
What we need to see:
- B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field
- 1+ years experience in software development, including Object Oriented development
- 1+ years experience implementing production AI/ML systems
- Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques
- Proficiency in Python
- Experience data collection and preparation from diverse large-scale sources
Ways to stand out from the crowd:
- Understanding of SOLID principles and design patterns
- Experience developing large scale software, including in a micro services architecture
- Knowledge of LLM techniques
- Experience with vector databases and embedding technologies
- Experience developing AI agent architectures and orchestration systems
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our AI teams are rapidly expanding. If you're a creative and autonomous engineer with a passion for artificial intelligence, we want to hear from you!NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
