Senior AI Application Developer - GPU and SoC Architecture Modeling
at Nvidia
USD 152,000-287,500 per year
Used Tools & Technologies
Machine Learning LLMRequired 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 @ 6
Algorithms @ 4
Hiring @ 4
Debugging @ 7
GPU @ 4
Deep Learning @ 4
AI @ 4
GenAI @ 4
LangChain @ 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
Our work at NVIDIA is dedicated to a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing and the invention of the GPU. Today, NVIDIA's GPU runs deep learning algorithms powering computers, robots, and self-driving cars. The Architecture Modeling group is hiring Architects, Software Engineers, and AI application developers to work on architecture efforts across GPUs and SoCs, enabling state-of-the-art GenAI applications integrated with simulation platforms and architecture teams' workflows.
Responsibilities
- Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity.
- Use state-of-the-art AI tools and techniques to accelerate GPU/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 LLMs and establishing best practices.
- Research emerging AI technologies and engineering best practices to evolve the development ecosystem.
Requirements
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field, with 3+ years of related experience.
- Proficiency in C++ and Python.
- Experience with ML/agent frameworks such as LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools.
- Hands-on experience with LLMs (e.g., GPT, Claude, Llama) and multimodal models.
- Background in computer architecture and 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
- Base salary range (Level 3): 152,000 USD - 241,500 USD.
- Base salary range (Level 4): 184,000 USD - 287,500 USD.
- You will also be eligible for equity and benefits (see NVIDIA benefits page: https://www.nvidia.com/en-us/benefits/).
Additional information
- Location: Santa Clara, CA, United States.
- Employment type: Full time.
- Applications accepted at least until February 8, 2026.
- NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.