Used Tools & Technologies
GenAIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 7
Algorithms @ 4
Data Structures @ 7
Machine Learning @ 4
Communication @ 7
LLM @ 4
Generative AI @ 4
AI @ 4
Agentic AI @ 4
RAG @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA has been redefining computer graphics, PC gaming, and accelerated computing for more than 25 years. As part of NVIDIA's applied LLM and AI chip design team, you will work at the intersection of research, engineering, and product development to transform research breakthroughs into real-world solutions in generative AI and chip design.
Responsibilities
- Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with enterprise production systems.
- Design, develop, and deploy AI applications using large language models (LLMs), internal and external agentic frameworks, and related technologies.
- Develop and optimize retrieval and generation algorithms for enterprise data (text, code, and images) to build advanced AI applications.
- Design and deploy LLM-powered solutions for engineering assistants and multi-turn, multi-modal dialogue systems.
- Drive impact by leveraging AI technologies to solve complex problems in chip design.
- Engage with the latest advancements in machine learning and AI to create state-of-the-art solutions.
- Maintain high-quality engineering practices and lead engineering efforts that inspire others.
Requirements
- Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline (or equivalent experience).
- 5+ years of proven industry experience.
- Proficiency in rapid prototyping using Python with strong foundational knowledge of data structures, algorithms, and software engineering principles.
- Experience with fine-tuning large language models, building advanced multi-agent / agentic systems, RAG pipelines, and vector databases.
- Experience developing retrieval and generation algorithms and multi-modal AI systems.
- Strong analytical, communication, and interpersonal skills; ability to work in dynamic, product-focused, distributed teams.
- Proactive problem-solving mindset and willingness to learn new skills as needed.
Benefits
- Base salary (location & level dependent). The posting lists base salary ranges of 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
- Eligibility for equity and additional benefits (link provided in the original posting).
Additional Information
- Work model: Hybrid (#LI-Hybrid).
- Applications accepted at least until April 7, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.