Senior AI Application Developer - GPU and SoC Architecture Modeling
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 @ 7
Debugging @ 7
GPU @ 4
Deep Learning @ 7
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 towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.
NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPUs and SoCs. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process 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 identify how to best design, customize, and deploy AI-based solutions to their specific problem domains.
- Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions.
- Research emerging AI technologies and engineering best practices to continuously evolve the development ecosystem and maintain a competitive edge.
Requirements
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 5+ years of experience in related areas.
- Proficiency in C++ and Python.
- Experience with ML frameworks and AI agent toolkits such as LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other agentic tools.
- Hands-on experience with LLMs (examples listed: 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 & Other Details
- Base salary ranges (location, experience, and level dependent):
- Level 3: 152,000 USD - 241,500 USD
- Level 4: 184,000 USD - 287,500 USD
- You will also be eligible for equity and benefits (link provided in original posting).
- Applications for this job will be accepted at least until June 25, 2026.
- This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. The company does not discriminate on the basis of legally protected characteristics.