GPU Software Engineer for Machine Learning Protocols - Remote

Overview

The role involves implementing core GPU components for distributed machine learning training within a decentralized protocol, focusing on performance and reproducibility.

In Short

• Implement core GPU components for distributed ML training.
• Develop performant GPU kernels and compute infrastructure.
• Design novel algorithms optimized for cryptographic systems.
• Strong software engineering skills required.
• Experience in distributed GPU compute environments.
• In-depth understanding of deep learning frameworks.
• Preferred experience in venture-backed start-ups.
• Open-source contributions are a plus.
• Strong understanding of computer architecture.
• Experience with deep learning compiler frameworks.

Requirements

• Strong software engineering skills.
• Hands-on experience in distributed GPU compute environments.
• In-depth understanding of deep learning.
• Experience with GPU kernels and optimizations.
• Knowledge of machine learning frameworks.
• Experience with compiler technology.
• Experience working with distributed training infrastructure.

Benefits

• Competitive salary + share of equity and token pool.
• Fully remote work.
• Relocation assistance available.
• 3-4x all expenses paid company retreats per year.
• Whatever equipment you need.
• Paid sick leave.
• Private health, vision, and dental insurance.