10 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Develop simulation backends for fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.
- Improve deep learning compiler kernel code generation and computational graph optimization using modeled scenarios and performance analysis.
- Advance modeling and optimization of datacenter-scale AI workloads and deployment scenarios.
- Collaborate with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.
Requirements
- Master’s degree or equivalent experience in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.
- At least 3 years of relevant experience in compiler optimization, architectural simulation, or related areas.
- Strong hands-on experience with MLIR and compiler infrastructure.
- Strong C, C++, and Python programming skills, including software design, debugging, performance analysis, and test development.
- Strong communication and collaboration skills.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and other objective job-related factors.
- Applications accepted at least until November 3, 2026.
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.