ML Compiler Engineer - Remote

Overview

The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance.

In Short

• Design and implement ML compilers for high-performance deep learning applications.
• Optimize compilers for efficient execution of deep learning models on various hardware platforms.
• Design a staged lowering infrastructure to meet rapidly evolving workload requirements effectively.
• Design an algorithm to optimize data locality to minimize energy consumption.
• Work closely with hardware architects and developers to integrate new ML techniques and algorithms into the compiler.
• Collaborate with cross-functional teams to define and deliver ML compiler features and improvements.
• Troubleshoot and debug compiler issues, and provide technical support to customers.
• Contribute to the development of ML compiler documentation and user guides.
• Stay up-to-date with the latest trends and advancements in the field of ML compilers and hardware.
• Complete other responsibilities as assigned.

Requirements

• Pursuing Bachelors, Masters, or PhD in Computer Science preferred.
• Experiences in developing and optimizing software for high-performance computing systems.
• Strong proficiency in C++ programming.
• Experiences in LLVM / MLIR (preferred).
• Familiarity with PyTorch, Tensorflow, or JAX.
• Familiarity with hardware architectures such as CPUs, GPUs, TPUs, and NPUs.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• You’re inclusive, adapting your style to the situation and diverse global norms of our people.

Benefits

• Relocation Support for those living 50+ miles away from the office.
• Housing Stipend for summer internships.
• Charitable giving match and community involvement opportunities.
• Emotional wellness support with on-demand apps and paid therapy sessions.
• Onsite Café and gym, plus virtual classes for fitness.
• Flexible environment to balance work and personal life.