1 day ago
Base Salary
$108k - $196k/yr
Responsibilities
- Develop new machine learning compiler and systems technologies.
- Design, implement, and optimize compilers for high-impact AI workloads.
- Build agent-driven solutions to automate the overall development flow.
- Co-design agent system solutions with current and future AI compiler technologies.
- Collaborate with NVIDIA software and hardware engineering teams on machine learning acceleration.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience; MS or PhD preferred.
- Experience in machine learning systems development, including ML compilers, LLM inference kernels, or kernel generation.
- Strong Python, C/C++, and GPU programming skills.
- Expertise with machine learning compilers such as Apache TVM or MLIR is preferred.
- Background in AI agent-driven solutions and automation is preferred.
- Expertise in domain-specific compiler and library solutions for LLM inference and training, such as FlashInfer or Flash Attention, is preferred.
- Strong machine learning systems research and productization experience is preferred.
- Open-source project ownership or contributions are preferred.
Benefits
- Eligible for equity and benefits.
- Base salary ranges from $108,000 to $178,250 for Level 1 and from $124,000 to $195,500 for Level 2, depending on location, experience, and comparable employee pay.
- Applications accepted at least until September 21, 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.