Compiler Engineer, AI Inference - New College Grad 2026

Details

NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company."

NVIDIA is seeking top-tier AI Compiler Engineers to drive innovation within our world-class compiler organization. In this role, you will push the boundaries of what is possible in AI performance and help build the technology that powers the next generation of computing. Join us and make a tangible impact on a global scale.

Responsibilities

• Drive technical innovation: Participate in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
• Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and transition these breakthroughs into enterprise and consumer products.
• Collaborate on hardware/software co-design: Partner with experts across software, hardware, and research divisions to architect and co-design future silicon.
• Scale AI to the datacenter: Contribute to the advancement and optimization of datacenter-scale AI workload deployments.

Requirements

• BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.
• Experience specializing in compiler optimizations, synthesis, and placement.
• MLIR knowledge: Demonstrated, hands-on experience working with MLIR.
• Programming excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.
• Team dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

Ways to stand out from the crowd

• Hardware implementation: Hands-on experience implementing complex AI workloads on CPU, GPU, and/or custom AI accelerator architectures.
• LLM knowledge: Deep understanding of Large Language Model (LLM) inference and its implications on computer architecture.
• Architecture & design: Demonstrated understanding in designing and architecting comprehensive compiler frameworks from the ground up.

Compensation & Benefits

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 178,250 USD for Level 1, and 124,000 USD - 195,500 USD for Level 2. You will also be eligible for equity and benefits (see NVIDIA benefits page).

Other information

• Applications for this job will be accepted at least until July 17, 2026.
• This posting is for an existing vacancy.
• NVIDIA uses AI tools in its recruiting processes.
• NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer. They do not discriminate on the basis of legally protected characteristics.