Eridu AI

Network Simulation Engineer

Saratoga, CA

Sponsorship not specifiedDetected 23 days ago

C++Machine LearningTensorFlowPyTorchLLMsSupply ChainElectrical EngineeringCommunicationPublic Speaking

About the role

Today's AI performance is frequently limited by communication bottlenecks.
We do this while simultaneously reducing capital and power costs and improving reliability.
The company's solutions and value proposition have been widely validated by leading hyperscalers.

About Eridu Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver Faster AI.
Eridu introduces multiple industry-first innovations across silicon, packaging, software, and systems to deliver an order of magnitude improvement in performance and unlock greater GPU utilization to speed training job completion times and tokens-per-second for more profitable inference.
Collaborate with the internal ASIC and architecture teams by providing simulation-based insights that shape chip design for optimized AI traffic flows.
Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
You will collaborate cross-functionally with customers, ASIC designers, and simulation tool providers to optimize performance, influence design, and deliver transformative AI networking solutions.

Create clear and compelling reports, documentation, and presentations to communicate insights to technical and non-technical stakeholders.
Qualifications MSc or PhD in Computer Science, Electrical Engineering, or a related field with some specialization in AI/ML communications or equivalent hands-on experience Strong experience with network simulation tools such as NS3, OMNeT++, or custom-built simulators.
Familiarity with distributed training frameworks (e.g., PyTorch, TensorFlow), collective communication libraries (e.g., NCCL, RCCL), and GPU programming (CUDA or ROCm).
Deep understanding of frontier model architectures, parallelism approaches and operational functionality Deep understanding of Ethernet, InfiniBand, and high-performance data center networking technologies.
Solid grasp of AI system architecture, including compute, memory, and interconnect bottlenecks in large-scale training/inference clusters.
Strong programming skills in C++ and Python.

INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world's leading micro-LED company).

Work with customers to evaluate their AI workloads and provide recommendations for topology design, protocol tuning, and system architecture.

This listing is sourced directly from Eridu AI's careers page and normalized into a canonical job model.