The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
About SambaNova Systems: Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems.
The Opportunity: We are seeking a visionary Network Architect to define and drive the future of our hyperscale AI compute platform. In this critical role, you will architect the foundational networks powering next-generation AI workloads, from RDU-accelerated servers to global-scale AI clusters. You will sit at the intersection of hardware engineering, product strategy, and large-scale deployment, translating complex technical and customer requirements into scalable, cost-optimized, and high-performance infrastructure solutions.
We are looking for someone with:
- 12+ years of experience designing, architecting, or productizing compute infrastructure for hyperscale, AI, HPC, cloud, or large-scale data center environments
- Deep experience with AI compute platforms, including GPU/accelerator systems, high-density server architectures, rack-scale compute, and cluster-level design considerations
- Strong understanding of server and rack-level architecture, including power, thermal, mechanical, serviceability, firmware, and platform integration requirements
- Experience translating customer, workload, and deployment requirements into compute product requirements, platform roadmaps, technical specifications, and architecture tradeoffs
- Familiarity with modern AI infrastructure components such as GPU servers, accelerator trays, NVLink/NVSwitch-class fabrics, PCIe/CXL, high-speed NICs, DPUs/IPUs, and storage-attached compute architectures
- Deep working knowledge of AI cluster networking and fabric dependencies, including InfiniBand, RoCEv2, Ethernet-based AI fabrics, 400G/800G interconnects, and GPU-to-GPU east-west traffic patterns
- Experience with lossless or near-lossless Ethernet designs, including QoS, priority mapping, ECN, PFC, congestion management, buffer tuning, telemetry, and failure-domain isolation
- Strong understanding of spine-leaf network architectures and associated technologies such as VXLAN, EVPN, BGP, MLAG, ECMP, underlay/overlay design, multi-tenant segmentation, and network automation
- Ability to design and evaluate solutions across multiple networking platforms and operating models, with a vendor-agnostic approach to architecture, platform selection, interoperability, and lifecycle strategy
- Experience comparing and integrating technologies across leading switch, NIC, accelerator, optical, and fabric ecosystems, while avoiding unnecessary vendor lock-in
- Familiarity with high-speed optics and cabling implications for AI clusters, including 400G/800G DR4, FR4, LR4, SR, DAC/AOC, fiber topology, link budgets, and transceiver interoperability
- Ability to evaluate how network choices impact compute product requirements, including NIC selection, DPU/IPU integration, PCIe lane allocation, rack power/thermal design, cabling density, latency, throughput, resiliency, and serviceability
- Ability to partner closely with hardware engineering, supply chain, manufacturing, operations, networking, facilities, vendors/OEMs/ODMs, and customer-facing teams to bring compute platforms from concept through deployment
- Background supporting large-scale infrastructure operations, including fleet deployment, platform lifecycle management, reliability, observability, telemetry, automation, and field issue resolution
- Strong product mindset, with the ability to balance performance, cost, manufacturability, deployment velocity, serviceability, supply availability, power efficiency, ecosystem flexibility, and long-term scalability
A strong fit would be someone who has sat at the intersection of AI compute architecture, product strategy, and hyperscale deployment—with enough network and fabric depth to understand how InfiniBand, RoCE, congestion control, platform interoperability, and spine-leaf design choices shape the compute products required for next-generation AI infrastructure.
Base Salary Range:
Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO Policy
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
Skills Required
- 12+ years designing, architecting, or productizing compute infrastructure for hyperscale, AI, HPC, cloud, or large-scale data center environments
- Deep experience with AI compute platforms including GPU/accelerator systems, high-density server architectures, rack-scale compute, and cluster-level design
- Strong understanding of server and rack-level architecture: power, thermal, mechanical, serviceability, firmware, and platform integration
- Translate customer, workload, and deployment requirements into compute product requirements, platform roadmaps, technical specifications, and architecture tradeoffs
- Familiarity with modern AI infrastructure components: GPU servers, accelerator trays, NVLink/NVSwitch-class fabrics, PCIe/CXL, high-speed NICs, DPUs/IPUs, storage-attached compute
- Deep working knowledge of AI cluster networking and fabric dependencies including InfiniBand, RoCEv2, Ethernet-based AI fabrics, and 400G/800G interconnects
- Experience with lossless or near-lossless Ethernet designs (QoS, priority mapping, ECN, PFC, congestion management, buffer tuning, telemetry, failure-domain isolation)
- Strong understanding of spine-leaf architectures and related technologies (VXLAN, EVPN, BGP, MLAG, ECMP, underlay/overlay, multi-tenant segmentation, network automation)
- Vendor-agnostic approach to architecture, platform selection, interoperability, and lifecycle strategy
- Experience comparing and integrating technologies across switches, NICs, accelerators, optics, and fabric ecosystems to avoid vendor lock-in
- Familiarity with high-speed optics and cabling for AI clusters (400G/800G DR4/FR4/LR4, SR, DAC/AOC, fiber topology, link budgets, transceiver interoperability)
- Ability to evaluate network choices' impact on compute product requirements (NIC selection, DPU/IPU integration, PCIe lanes, rack power/thermal, cabling density, latency, throughput, resiliency, serviceability)
- Partner closely with hardware engineering, supply chain, manufacturing, operations, networking, facilities, vendors/OEMs/ODMs, and customer-facing teams from concept through deployment
- Background supporting large-scale infrastructure operations: fleet deployment, lifecycle management, reliability, observability, telemetry, automation, and field issue resolution
- Strong product mindset balancing performance, cost, manufacturability, deployment velocity, serviceability, supply availability, power efficiency, ecosystem flexibility, and scalability
What We Do
AI is changing the world and at SambaNova, we believe that you don’t need unlimited resources to take advantage of the most advanced, valuable AI capabilities - capabilities that are helping organizations explore the universe, find cures for cancer, and giving companies access to insights that provide a competitive edge. We deliver the world’s fastest and only complete AI solution for enterprises and governments with world-record inference performance and accuracy. Powered by the SambaNova SN40L Reconfigurable Dataflow Unit (RDU), organizations can build a technology backbone for the next decade of AI innovation with SambaNova Suite. Our fully integrated hardware-software system, DataScale®, enables organizations to train, fine-tune, and deploy the most demanding AI workloads using the largest and most challenging models. Most recently, with the launch of our newest offering, SambaNova Cloud, developers can supercharge AI-powered applications on Llama 3.2 models. SambaNova was founded in 2017 in Palo Alto, California, by a group of industry luminaries, business leaders, and world-class innovators who understand AI. Today, we’ve built an incredibly smart and motivated team dedicated to making a lasting impact on the industry and equipping our customers to thrive in the new era of AI.
Why Work With Us
As a talent first company, we aim to hire the greatest and most innovative minds in the industry- driving the next generation of AI computing where no barrier is too high and the possibilities are truly limitless. We encourage our peers to take risks and take the initiative to make a lasting impact on the AI and ML industries.
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