Senior Software Engineer - Agentic AI

at Nvidia

USD 152,000-287,500 per year

SENIOR

✅ Hybrid

Tech Stack
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.

AI Agentic AI Algorithms @ 7 Communication @ 7 Data Structures @ 7 GenAI Generative AI LLM Machine Learning Python @ 6 RAG Vector Databases @ 4

Details

NVIDIA's applied LLM and AI chip design team operates at the intersection of research, engineering, and product development, transforming research breakthroughs into real-world solutions for generative AI and chip design.

Responsibilities

Lead Agentic AI solutions, including sophisticated AI agents, fine-tuning, and integration with enterprise production systems.
Design, develop, and deploy AI applications using large language models, internal and external Agentic AI frameworks, and related technologies.
Develop and optimize retrieval and generation algorithms for enterprise text, code, and image data.
Design and deploy LLM-powered solutions for engineering assistants and multi-turn, multimodal dialogue systems.
Apply AI technologies to solve complex problems in chip design.
Engage with advancements in machine learning and AI to create state-of-the-art solutions.
Maintain high-quality engineering practices and lead by example.

Requirements

Master's or PhD degree in Electrical Engineering, Computer Science, Computer Engineering, or a related discipline, or equivalent experience.
5 or more years of proven industry experience.
Proficiency in rapid prototyping with Python.
Strong foundational knowledge of data structures, algorithms, and software engineering principles.
Experience fine-tuning large language models and building advanced multi-agent systems, retrieval-augmented generation pipelines, and vector databases.
Strong analytical, communication, and interpersonal skills.
Ability to work effectively in dynamic, product-focused, and distributed teams.
Proactive problem-solving approach and willingness to acquire new skills as needed.

Benefits

Equity eligibility.
Benefits eligibility.
NVIDIA is committed to an inclusive work environment and is an equal opportunity employer.

Applications will be accepted at least until July 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.