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Network Simulation Engineer
Eridu · Saratoga, CA, United States · On Site · Active · Rippling ATS
Job facts
| Field | Value |
|---|---|
| Company | Eridu |
| Title | Network Simulation Engineer |
| Normalized title | - |
| Department / team | Product Management |
| Location | Saratoga, CA, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Rippling ATS |
| Posted / first seen | 2026-04-03 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Eridu. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Rippling ATS. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Saratoga. | Open |
| Department jobs | Active postings in Product Management. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Eridu |
| Source | 2e3b3faf-1f18-443b-b03c-ab436c316a6b |
| ATS provider | Rippling ATS |
Description
company
About Eridu Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver Faster AI . Today’s AI performance is frequently limited by communication bottlenecks. 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. 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.
Eridu has raised over $200M to date including its most recent, oversubscribed Series A round. The company is led by a veteran team of Silicon Valley executives who have delivered multiple billion dollar product lines and led multiple companies to billion dollar exits, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world’s leading micro-LED company). The company is in execution mode and has a world-class engineering team with decades of experience in state-of-the-art silicon, packaging, optics, software, and systems. Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.
Visit our website eridu.ai to learn more.
role
Position Overview We are seeking a highly motivated Network Simulation Engineer to lead the simulation and analysis of AI communication workloads (e.g. collective communications) across various data center network topologies. In this role, you will apply network simulation tools to model real-world AI applications—including LLMs and DLRMs—to inform architectural decisions across Eridu’s product development lifecycle and to showcase our value to prospective customers and investors.
You will collaborate cross-functionally with customers, ASIC designers, and simulation tool providers to optimize performance, influence design, and deliver transformative AI networking solutions.
Responsibilities Model AI Workloads: Simulate communication patterns of distributed AI workloads (e.g., LLMs, DLRMs) across diverse network topologies to analyze performance and scalability. Drive Architecture Optimization: Work with customers to evaluate their AI workloads and provide recommendations for topology design, protocol tuning, and system architecture. Influence ASIC Design: Collaborate with the internal ASIC and architecture teams by providing simulation-based insights that shape chip design for optimized AI traffic flows. Tool Development & Partnership: Interface with simulation tool providers (who have optimized versions of NS-3, ASTRA-sim, etc.) to customize, tune, and enhance modeling frameworks for Eridu’s specific requirements and to operate these tools to run simulations. Documentation & Communication: 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. Clear and confident communication skills, both written and verbal. 2+ years of relevant experience preferred; exceptional early-career candidates will also be considered.
Why Join Us? At Eridu, you’ll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI infrastructure solutions, transforming the performance of AI data centers.
The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles.
Notice to Recruiting Agencies Eridu does not accept unsolicited resumes or candidate profiles from staffing agencies or third-party recruiters. Any candidate submitted to Eridu without prior written authorization from our recruiting team will be considered unsolicited and will become the property of Eridu. Eridu reserves the right to pursue and hire such candidates without any obligation to pay fees. Recruiting agencies are expressly instructed not to contact hiring managers, employees, or executives regarding open positions.
Full job record
| Job ID | 5bab26dfbaea37c6c1627a8e6b5eb45707ae2b3e |
| Org ID | d05d9cdc-fa71-444b-b57a-6140fe525606 |
| Source ID | 2e3b3faf-1f18-443b-b03c-ab436c316a6b |
| Board ID | 2e3b3faf-1f18-443b-b03c-ab436c316a6b |
| Provider | rippling |
| Provider Job Key | e62a6e9f-af3c-4624-8363-3026c0bea490 |
| Title | Network Simulation Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Saratoga, CA, United States |
| Department | Product Management |
| Team | — |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | CA |
| City | Saratoga |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://ats.rippling.com/eridu-ai/jobs/e62a6e9f-af3c-4624-8363-3026c0bea490 |
| Apply URL | https://ats.rippling.com/eridu-ai/jobs/e62a6e9f-af3c-4624-8363-3026c0bea490 |
| First Seen At | 2026-05-29 07:14:02Z |
| Last Seen At | 2026-06-06 19:44:35Z |
| Last Checked At | 2026-06-06 19:44:35Z |
| Last Changed At | 2026-06-06 19:44:35Z |
| Inactive At | — |
| Source Posted At | 2026-04-03 18:43:55Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=rippling/board=eridu-ai/date=2026-06-06/2026-06-06T19-44-33-762Z-4b761a1811184974f9facfa7bb3d3a7e8696180848a08b199b5b79a934e7d18e.json |
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"role": "<meta><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Position Overview</strong></b></h4><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">We are seeking a highly motivated </span><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Network Simulation Engineer</strong></b><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\"> to lead the simulation and analysis of AI communication workloads (e.g. collective communications) across various data center network topologies. In this role, you will apply network simulation tools to model real-world AI applications—including LLMs and DLRMs—to inform architectural decisions across Eridu’s product development lifecycle and to showcase our value to prospective customers and investors.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\"> </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">You will collaborate cross-functionally with customers, ASIC designers, and simulation tool providers to optimize performance, influence design, and deliver transformative AI networking solutions.</span></p><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Responsibilities </strong></b></h4><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Model AI Workloads: Simulate communication patterns of distributed AI workloads (e.g., LLMs, DLRMs) across diverse network topologies to analyze performance and scalability.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Drive Architecture Optimization: Work with customers to evaluate their AI workloads and provide recommendations for topology design, protocol tuning, and system architecture.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Influence ASIC Design: Collaborate with the internal ASIC and architecture teams by providing simulation-based insights that shape chip design for optimized AI traffic flows.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Tool Development & Partnership: Interface with simulation tool providers (who have optimized versions of NS-3, ASTRA-sim, etc.) to customize, tune, and enhance modeling frameworks for Eridu’s specific requirements and to operate these tools to run simulations.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Documentation & Communication: Create clear and compelling reports, documentation, and presentations to communicate insights to technical and non-technical stakeholders.</span></li></ul><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Qualifications</strong></b></h4><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">MSc or PhD in Computer Science, Electrical Engineering, or a related field with some specialization in AI/ML communications or equivalent hands-on experience</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong experience with network simulation tools such as NS3, OMNeT++, or custom-built simulators.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Familiarity with distributed training frameworks (e.g., PyTorch, TensorFlow), collective communication libraries (e.g., NCCL, RCCL), and GPU programming (CUDA or ROCm).</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Deep understanding of frontier model architectures, parallelism approaches and operational functionality</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Deep understanding of Ethernet, InfiniBand, and high-performance data center networking technologies.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Solid grasp of AI system architecture, including compute, memory, and interconnect bottlenecks in large-scale training/inference clusters.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Strong programming skills in C++ and Python.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Clear and confident communication skills, both written and verbal.</span></li><li style=\"color:rgb(0,0,0);font-size:11pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);white-space:pre-wrap;\">2+ years of relevant experience preferred; exceptional early-career candidates will also be considered.</span></li></ul><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:start;\"><br></p><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;text-align:start;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Why Join Us? </strong></b></h4><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">At Eridu, you’ll have the opportunity to shape the future of AI infrastructure, working with a world-class team on groundbreaking technology that pushes the boundaries of AI performance. Your contributions will directly impact the next generation of AI infrastructure solutions, transforming the performance of AI data centers. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\"> </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:11pt;white-space:pre-wrap;\">The starting base salary for the selected candidate will be established based on their relevant skills, experience, qualifications, work location, market trends, and the compensation of employees in comparable roles. </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:start;\"><br></p><h6 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:13pt;font-weight:600;letter-spacing:0.25px;margin-top:8px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);white-space:pre-wrap;\">Notice to Recruiting Agencies</strong></b></h6><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;color:rgb(0,0,0);white-space:pre-wrap;\">Eridu does not accept unsolicited resumes or candidate profiles from staffing agencies or third-party recruiters. Any candidate submitted to Eridu without prior written authorization from our recruiting team will be considered unsolicited and will become the property of Eridu. Eridu reserves the right to pursue and hire such candidates without any obligation to pay fees. Recruiting agencies are expressly instructed not to contact hiring managers, employees, or executives regarding open positions.</span></p>",
"company": "<meta><h4 style=\"font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:18pt;font-weight:600;letter-spacing:0px;margin-top:12px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"white-space:pre-wrap;\">About Eridu</strong></b></h4><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Eridu is a Silicon Valley-based hardware startup pioneering infrastructure solutions that accelerate AI data centers to deliver </span><i><em style=\"font-size:11pt;white-space:pre-wrap;\">Faster AI</em></i><span style=\"font-size:11pt;white-space:pre-wrap;\">. Today’s AI performance is frequently limited by communication bottlenecks. 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. We do this while simultaneously reducing capital and power costs and improving reliability.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">The company’s solutions and value proposition have been widely validated by leading hyperscalers.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Eridu has raised over $200M to date including its most recent, oversubscribed Series A round. The company is led by a veteran team of Silicon Valley executives who have delivered multiple billion dollar product lines and led multiple companies to billion dollar exits, including serial entrepreneur Drew Perkins, co-founder of Infinera (NASDAQ: INFN), Lightera (acq. by Ciena), Gainspeed (acq. by Nokia) and Mojo Vision (the world’s leading micro-LED company). The company is in execution mode and has a world-class engineering team with decades of experience in state-of-the-art silicon, packaging, optics, software, and systems. Eridu is working with best-in-class supply chain partners including silicon, packaging and systems.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\"> </span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">Visit our website </span><a href=\"http://eridu.ai\" target=\"_blank\" class=\"css-173makr-linkStyle\" style=\"color:rgb(30,74,169);cursor:pointer;\"><span style=\"font-size:11pt;white-space:pre-wrap;\">eridu.ai</span></a><span style=\"font-size:11pt;white-space:pre-wrap;\"> to learn more.</span></p><p style=\"font-family:"Basel Grotesk",Arial,sans-serif;font-size:11.25pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><br></p>"
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