2 days ago
Base Salary
$124k - $242k/yr
Responsibilities
- Build and validate performance models for LLM architectures across GPU, LPU, and heterogeneous systems.
- Develop agents that 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 and engineering tools.
Requirements
- Recently completed an MS in Computer Science or a related field, or have equivalent experience.
- Demonstrate familiarity with modern LLM architectures and their inference characteristics.
- Have experience with simulation, profiling, or performance modeling, including roofline analysis for LLM inference.
- Possess strong analytical skills and a rigorous approach to experimentation and validation.
- Have experience building reliable engineering tools using coding agents.
- Preferred qualifications include experience building agents for complex engineering workflows, knowledge of accelerator architecture and compute, memory, or communication bottlenecks, and open-source contributions in agentic systems, simulation, or inference optimization.
Benefits
- Eligible for equity and benefits.
- Applications are accepted at least until October 24, 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.