Position Overview

We are looking for an experienced senior developer to design and build high-performance storage systems optimized for AI inference workloads, particularly large language models (LLMs). This role involves developing scalable, GPU-accelerated storage infrastructure that integrates tightly with modern AI inference frameworks and distributed architectures.

Position located in Kfar Saba, Israel.

Key Responsibilities

• Design and implement scalable storage solutions tailored for AI/ML inference pipelines.
• Optimize data pipelines, caching, and I/O patterns to maximize GPU utilization and minimize inference latency.
• Research and prototype innovative storage–compute co-design approaches for transformer-based models.
• Stay current with advancements in distributed storage, high-performance networking, and AI inference technologies.
• Contribute to open-source AI infrastructure projects where applicable.

Required Qualifications

• At least 5 years of experience in industry
• Expert-level Python and proficient Rust programming skills.
• Strong knowledge of distributed storage architectures, object storage, and high-performance filesystems.
• Hands-on experience with GPU acceleration technologies (CUDA, NCCL) and GPU memory management.
• Familiarity with AI/ML frameworks and transformer model architectures.
• Excellent problem-solving, debugging, and performance optimization skills.
• Self-motivated, able to work independently in fast-paced, innovative environments.
• AI expertise in different models and storage/networking, at least one of them

Preferred Qualifications

• Experience with high-performance networking protocols (InfiniBand, RoCE).
• Knowledge of HPC technologies (MPI, NVLink).
• Contributions to open-source AI or storage projects.
• University Degree
• Startup experience