ML Optimization Engineer - Gonka Network Mining Operations

About Us:

We are a leading participant in the Gonka decentralized AI network, leveraging high-performance GPU infrastructure to maximize mining rewards. We’re seeking an ML Optimization Engineer to help us achieve superior efficiency and weight in the Gonka ecosystem.

Key Responsibilities:

• Implement advanced inference optimizations (speculative decoding, quantization, attention modifications, etc.) to maximize mining weight — techniques already proven to achieve double weight with identical GPUs by other participants
• Fine-tune Docker configurations for various GPU models based on available registry
• Develop custom optimization strategies that balance throughput and quality
• Create and maintain custom Docker images optimized for specific GPU architectures
• Design and implement systems for stable and scalable mining of Gonka and other protocols
• Develop optimized images for Tenstorrent AI ASICs to expand our hardware ecosystem beyond current GPU deployment
• Migrate Python code and VLLM implementations to new VLLM images and adapt them for specific GPU cards

Required Qualifications:

• Proven experience with large language model optimization techniques
• Strong understanding of transformer architectures and attention mechanisms
• Proficiency with PyTorch, CUDA, and GPU optimization techniques
• Experience with vLLM, FlashInfer, or similar inference optimization frameworks
• Familiarity with Docker containerization and GPU workload management

Preferred Qualifications:

• Experience with Claude Code Max (will be provided if needed)