Compiler Engineer - AI Inference

Details

NVIDIA is seeking an AI Compiler Engineer to drive innovation within its compiler organization. The role focuses on improving AI performance and building technology for next-generation computing platforms.

Responsibilities

• Develop compiler technology for kernel generation and computational graph optimizations targeting next-generation NVIDIA GPUs.
• Solve complex compilation problems for AI inference and training workloads.
• Transition compiler innovations into enterprise and consumer products.
• Collaborate with software, hardware, and research teams on hardware/software co-design and future silicon architectures.
• Advance and optimize datacenter-scale AI workload deployments.

Requirements

• Bachelor's or master's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. A PhD is strongly preferred.
• At least 3 years of relevant industry experience specializing in compiler optimizations, synthesis, and placement.
• Hands-on experience with MLIR.
• Exceptional C/C++ and Python programming and software design skills.
• Strong debugging, performance analysis, and test design abilities.
• Strong communication and interpersonal skills, with the ability to collaborate in a dynamic, fast-paced, product-oriented environment.

Preferred Qualifications

• Hands-on experience implementing complex AI workloads on CPU, GPU, or custom AI accelerator architectures.
• Deep understanding of Large Language Model inference and its implications for computer architecture.
• Experience designing and architecting comprehensive compiler frameworks from the ground up.

Benefits

• Equity and benefits are provided.
• NVIDIA offers a competitive salary and benefits package.
• Applications will be accepted at least until April 28, 2026.
• NVIDIA is an equal opportunity employer.