Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of experience in related areas
- Education
- BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field
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Role Summary
The NVIDIA Architecture Modeling group is hiring architects, software engineers, and AI application developers to build GenAI applications integrated with GPU and SOC simulation platforms and architecture workflows. The role focuses on applying AI to accelerate architecture modeling, improve engineering productivity, and evolve the development ecosystem.
What You'll Do
- Develop and deploy scalable GenAI applications that integrate with existing workflows
- 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
- Research emerging AI technologies and engineering best practices to evolve the development ecosystem
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proficiency in C++, Python, and ML frameworks or AI agentic tools; hands-on experience with LLMs and multimodal models; strong collaboration, problem-solving, and debugging skills.
Required
- Proficiency in C++
- Proficiency in Python
- Proficiency in ML frameworks like LangChain, LangSmith, Claude Agent SDK, Nemo Agent Toolkit, or other AI agentic tools
- Hands-on experience with LLMs such as GPT, Claude, or Llama
- Hands-on experience with multimodal models
- Strong collaboration skills with design and engineering teams
- Strong problem-solving and debugging skills
- Track record of driving issues to closure
Preferred
- Background in Computer Architecture with experience in modeling
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. 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.
What you’ll be doing:
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 our development ecosystem and maintain a competitive edge.
What we need to see:
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++, Python and ML frameworks like 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 with experience in 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
You will also be eligible for equity and benefits.
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 proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.