About the role
This role involves building the model serving platform for Sciforium's multimodal AI models, working across C++, Python, runtime execution, and distributed infrastructure. Responsibilities include API, Control Plane, Billing, Monitoring, and distributed inference features. Collaborate with ML researchers, write reliable code, provide operational support, and troubleshoot complex issues across runtime, service, and GPU layers.
Requirements
Bachelor's in CS or equivalent, 3+ years software engineering experience in infrastructure or ML systems. Strong proficiency in C++/Python/Go/Rust. Experience with Kubernetes, containerization, and large-scale ML/MLOps infrastructure. Preferred: experience with ML systems engineering, open source inference engines (vLLM, Sglang, TRT-LLM), CUDA/ROCm, GPU profiling, and open-source contributions.
About the company
Sciforium
Sciforium is an AI infrastructure platform providing dedicated AI APIs for scalable deployment of production-ready AI applications. They offer access to a wide range of state-of-the-art models across various modalities through a unified, low-cost, and multimodal API, built on their own optimized hardware for enhanced privacy and performance.
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