2 days ago
Base Salary
$116k - $230k/yr
Responsibilities
- Collaborate on pre-silicon and post-silicon custom circuit design, circuit/layout optimization, and Spice correlation projects.
- Research and implement frontier techniques in electronic design automation.
- Build agentic AI solutions for VLSI design problems.
- Analyze problems and datasets, validate hypotheses, and develop models and algorithms to achieve the desired quality of results.
Requirements
- MS or PhD in Electrical Engineering or Computer Engineering, or equivalent experience.
- Strictly required experience with combinatorial optimization, agentic AI and large language models, and machine learning for chip design and EDA.
- Background in algorithms and data structures.
- Applied mathematics, machine learning, and software programming experience with demonstrated Python or C++ coding ability.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications accepted at least until October 3, 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.