6 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Build and validate performance models for LLM architectures across GPU, LPU, and heterogeneous systems.
- Develop agents to automate simulation workflows, analyze bottlenecks, and accelerate design-space exploration.
- Collaborate with hardware architecture, inference, runtime, and compiler teams to improve modeling accuracy and guide optimization.
- Conduct rigorous experimentation and validation of performance models.
Requirements
- Master’s degree in Computer Science or a related field and 5+ years of experience.
- Familiarity with modern LLM architectures and their inference characteristics.
- Experience with simulation, profiling, or performance modeling, including roofline analysis for LLM inference.
- Strong software engineering skills and experience building reliable engineering tools using coding agents such as Claude Code and Codex.
- Strong analytical skills and a rigorous approach to experimentation and validation.
Benefits
- Hybrid work arrangement.
- Eligible for equity and benefits.
- Applications accepted at least until October 13, 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.