Senior Developer – AI Inference Storage Systems
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
Responsibilities
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Design and implement scalable storage solutions tailored for AI/ML inference pipelines
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Optimize data pipelines, caching, and I/O patterns to maximize GPU utilization and minimize inference latency
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Research and prototype innovative storage–compute co-design approaches for transformer-based models.
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Stay current with advancements in distributed storage, high-performance networking, and AI inference technologies.
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Contribute to open-source AI infrastructure projects where applicable.
Desired Skills and Experience
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At least 5 years of experience in industry
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Expert-level Python and proficient Rust programming skills.
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Strong knowledge of distributed storage architectures, object storage, and high-performance filesystems.
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Hands-on experience with GPU acceleration technologies (CUDA, NCCL) and GPU memory management.
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Familiarity with AI/ML frameworks and transformer model architectures.
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Excellent problem-solving, debugging, and performance optimization skills.
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Self-motivated, able to work independently in fast-paced, innovative environments.
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AI expertise in different models and storage/networking, at least one of them
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Experience with high-performance networking protocols (InfiniBand, RoCE).- Preferred
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Knowledge of HPC technologies (MPI, NVLink).- Preferred
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Contributions to open-source AI or storage projects.- Preferred
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University Degree- Preferred
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Startup experience- Preferred
