Inference Systems Architect; GPU Device
Listed on 2026-11-04
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IT/Tech
AI Engineer (Applied/Software), Systems Engineer, Machine Learning/ ML Engineer
Genesis AI is seeking an expert to build and optimize real-time inference systems for on-device and cluster deployments. You will implement low-level CUDA/Triton kernels and integrate them with high-level AI frameworks, with a focus on both throughput and latency.
You will lead design and optimization of scalable ML infrastructure, ensuring reliability, determinism, and efficient resource usage across GPU clusters and edge devices.
The following role is for a Real-Time Inference Systems Architect (GPU & On-Device) with Genesis AI.
The advertised compensation is 180..
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Real-Time Inference Systems Architect (GPU & On-Device) role in the description above.
We appreciate your interest in this position.
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