1 day ago
Base Salary
$184k - $357k/yr
Responsibilities
- Create and integrate AI agents to improve VLSI design-flow efficiency, productivity, and quality.
- Design and implement algorithms and models that optimize VLSI design processes.
- Develop software tools and frameworks supporting AI integration into VLSI design.
- Analyze data to identify patterns and insights for AI-driven design methodologies.
- Collaborate with VLSI design, machine-learning, and software-engineering experts.
- Stay current with machine learning, deep learning, and VLSI development advances.
Requirements
- Bachelor's, master's, or PhD in computer science, electrical/computer engineering, or a related field, or equivalent experience.
- 6+ years of experience building AI-driven software systems, ideally for complex engineering workflows.
- Strong Python programming skills and experience developing production-quality systems.
- Experience designing and applying AI agents or learning-based decision systems, such as reinforcement learning, planning, or LLM-based agents.
- Proficiency with PyTorch and TensorFlow and data-driven model development.
- Strong problem-solving and collaboration skills.
- Preferred: experience with large language models and their applications in software and AI development.
- Preferred: proficiency with version control, testing, and CI/CD.
Benefits
- Base salary ranges from 184,000 USD to 287,500 USD for Level 4 and from 224,000 USD to 356,500 USD for Level 5.
- Eligible for equity and benefits.
- Applications accepted at least until October 11, 2026.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.