Description

We are a technology company focused on designing and developing advanced, customized server hardware solutions optimized for artificial intelligence workloads. Our mission is to accelerate AI innovation by delivering high-performance, scalable, and energy-productive infrastructure for datacenter-scale inference. Our chips in development are purpose-built for large-scale AI inference and will be deployed in rack-level systems where multiple devices collaborate to deliver optimal latency, throughput, and efficiency. We are building the next generation of AI infrastructure and are looking for engineers who deeply understand high-performance networking, collective communication, and distributed AI systems.

This role is focused on designing and implementing collective communication support for our AI accelerator platform, including both NPU-native communication and heterogeneous NPU-GPU communication. You will work at the intersection of accelerator runtime, networking, distributed AI workloads, and hardware-software co-design.

Responsibilities





• Design and implement collective communication primitives for AI accelerators.
• Build NPU-native CCL support for multi-chip and rack-scale AI inference systems.
• Design and implement heterogeneous NPU-GPU communication paths for distributed AI workloads.
• Develop communication runtime components for device discovery, rank management, topology awareness, stream/queue integration, events, and synchronization.
• Work on transport-layer integration across PCIe, Ethernet/RDMA, custom accelerator fabrics, or other device-to-device communication mechanisms.
• Collaborate with hardware, runtime, compiler, and model-serving teams to co-design scalable communication paths for AI workloads.
• Profile, debug, and optimize communication bottlenecks including bandwidth, latency, congestion, synchronization overhead, and compute-communication overlap.
• Build correctness, performance, and stress tests for multi-device and hete

📌 Network CCL Engineer (Hyderabad)
🏢 Evollabs Tech
📍 Hyderabad