Senior AI Application Developer - GPU and SOC Architecture Modeling

at Nvidia

📍 Santa Clara, United States

USD 152,000-287,500 per year

SENIOR

✅ On-site

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 @ 4 Debugging @ 7 GPU GenAI LLM LangChain @ 4 Machine Learning @ 4 Python @ 6

Details

NVIDIA's Architecture Modeling group is seeking architects, software engineers, and AI application developers to support architecture efforts across GPUs and SoCs. The role involves enabling state-of-the-art GenAI applications integrated with simulation platforms and architecture-team process workflows.

Responsibilities

Develop and deploy scalable GenAI applications that integrate with existing workflows and improve productivity.
Use state-of-the-art AI tools and techniques to accelerate GPU and SoC architecture modeling.
Work with hardware architects to design, customize, and deploy AI-based solutions for specific problem domains.
Collaborate with infrastructure engineers to improve automated workflows by incorporating large language models and establishing best practices.
Research emerging AI technologies and engineering practices to continuously evolve the development ecosystem.

Requirements

Bachelor's, master's, or doctoral degree, or equivalent experience, in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
At least 5 years of experience in related areas.
Proficiency in C++ and Python.
Experience with machine learning frameworks and AI agentic tools such as LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or equivalent technologies.
Hands-on experience with large language models such as GPT, Claude, and Llama, as well as multimodal models.
Background in computer architecture and architecture modeling is a plus.
Strong collaboration skills with design and engineering teams.
Strong problem-solving and debugging skills, with a track record of driving issues to closure.

Compensation and Benefits

The base salary range is USD 152,000–241,500 for Level 3 and USD 184,000–287,500 for Level 4. Compensation is determined based on location, experience, and the pay of employees in similar positions. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until June 25, 2026. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.