
NeuReality delivers AI infrastructure that increases GPU utilization and lowers latency, power, and cost for large-scale inference. It combines the NR1 Network Addressable Processing Unit (NAPU)…

NeuReality delivers AI infrastructure that increases GPU utilization and lowers latency, power, and cost for large-scale inference. It combines the NR1 Network Addressable Processing Unit (NAPU)…
NeuReality is looking for a Senior Machine Learning Engineer to work on LLM-based systems with a strong emphasis on integration, end-to-end workflows, and production readiness. This role combines performance optimization (prefill/decode, throughput, latency) with hands-on work integrating components across the AI platform.
A significant part of the role involves building end-to-end integration flows and tests, particularly around token generation pipelines and system orchestration, as well as contributing to intelligent system behavior such as hardware selection and execution strategies. The role also includes developing system-level logic in Python for multi-tenant management, caching strategies, and service lifecycle management across the platform.
Responsibilities:
Requirements:
Preferred Qualifications
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