
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) hardware with NR-NEXUS, a production-grade inference-serving OS that unifies networking and orchestration so the data path and control plane operate as one system. The platform productizes and integrates fragmented open-source inference frameworks and targets cloud, edge, and hyperscale deployments. NeuReality's solution reduces reliance on CPUs and enables inference and training clusters to scale without adding racks, improving throughput and energy efficiency.

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) hardware with NR-NEXUS, a production-grade inference-serving OS that unifies networking and orchestration so the data path and control plane operate as one system. The platform productizes and integrates fragmented open-source inference frameworks and targets cloud, edge, and hyperscale deployments. NeuReality's solution reduces reliance on CPUs and enables inference and training clusters to scale without adding racks, improving throughput and energy efficiency.
NeuReality is looking for a Graduate VLSI Logic Design Engineer to join our VLSI Logic Design Group.
This role is a great opportunity to gain hands-on experience in VLSI logic design, building the next generation of AI datacenter hardware.
About the VLSI Group
Our group develops the hardware infrastructure that scales AI Training and Inference Gigafactories
We work across the full VLSI design flow — from microarchitecture definition and RTL design to verification, emulation synthesis, and Physical Implementation.
The team combines deep technical expertise in digital design, hardware modeling, and system-level integration to deliver robust, high-performance silicon solutions for NeuReality’s products.
As part of this group, you’ll gain experience in working with real hardware, learn from industry experts, and take part in end-to-end chip development.
Responsibilities
Requirements
Advantages / Preferred Skills
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