1 day ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Design and implement agentic platforms and workflows.
- Implement end-to-end AI solutions that improve organizational quality and productivity.
- Develop AI solutions integrated 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 large-scale sources for AI training and inference.
Requirements
- Bachelor of Science degree or equivalent experience in Computer Science, AI, Machine Learning, or a related field.
- At least 6 years of experience in software development and building production-grade software systems.
- At least 1 year of experience building LLM-based solutions, AI agents, or AI workflows.
- Proficiency in Python.
- Strong understanding of modern AI concepts and practical applications.
- Preferred experience with modern machine learning domains, algorithms, architectures, and techniques.
- Preferred experience developing large-scale software, including microservices architectures.
- Preferred experience with vector databases, embedding technologies, RAG systems, and AI-agent orchestration systems.
Tech Stack
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.