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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Accelerator System Architect - **Company:** Greenhouse Software, Inc. - **Location:** San Jose, CA, United States - **Experience:** Expert - **Salary:** $250,000.0 - $350,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Engineering, Data Flow Control, Software Requirements Analysis, Systems Architecture, Application Specific Integrated Circuits, AI Platforms, Information Technology, Machine Learning Operations - **Published:** August 19, 2026 - **Apply:** https://boards.greenhouse.io/embed/job_app?for=sambanovasystems&token=6146328004 ## About the Role * B.S. or M.S. in Electrical Engineering, Computer Engineering, Computer Science, or equivalent practical experience * 12+ years architecting hardware systems for hyperscale, HPC, or AI/ML infrastructure * Deep, hands-on background in at least one systems domain, such as interconnect, power delivery, thermal/cooling, or mechanical, for large-scale AI accelerator, HPC, or hyperscale systems * Experience owning system architecture at board, rack, or cluster scale, including writing the specs that other engineering teams and vendors build to * A track record of carrying a system through architecture definition, bring-up, and volume production * Direct experience holding external vendors and ODM/OEM partners accountable to a technical specification * Comfortable reasoning across domains that affect each other, for example how an interconnect choice changes the power and thermal budget, which in turn changes the mechanical design * A history of making and owning directional calls, and building alignment across engineering and partner teams to support them * Clear technical writing, specs and reviews other teams will build to and rely on Preferred Qualifications * Hands-on experience with AI accelerator platforms (RDU, GPU, TPU, or custom ASIC) and the fabrics that scale them up and out * Enough fluency in chip- and package-level design to work as a peer with silicon and packaging architects, even though that is not this role's primary scope * Experience standing up a new engineering function, review process, or design practice from scratch ## Description SambaNova's Reconfigurable Dataflow Unit (RDU) powers a full-stack, chip-to-model AI platform used by enterprise and government customers, delivered both on-premises and in the cloud. As a Senior RDU System Architect, you'll be a part of the team that turns silicon into shippable systems - SambaRack-class server and rack designs, the scale-up/scale-out fabric that links RDUs together, and the power and cooling envelope that lets dense AI compute run efficiently in a real data hall. You'll set direction across build, buy, and co-design decisions with our hardware partners, write the specifications those partners build to, and stay engaged from architecture definition through bring-up, qualification, and fleet deployment., Some of your responsibilities will include: Platform & Rack Architecture * Being a part of the team defining the architecture of RDU-based server and rack platforms, from board layout and chassis design through full-rack integration, translating product and customer requirements into system specifications that engineering teams and vendors can build to. * Select and validate major system components - RDU sockets, memory modules, power supplies, chassis mechanicals - balancing performance, power envelope, and manufacturability. * Build performance and cost models to compare candidate rack configurations before committing to a design. Fabric, Power & Thermal * Architect the scale-up and scale-out interconnect fabric that links RDUs into larger training and inference clusters, choosing topology, switch/NIC hardware, and optics to hit bandwidth and latency targets. * Own the power delivery architecture (including high-density/48V-class distribution) and the cooling strategy - air and liquid - needed to keep dense, multi-socket racks within thermal budget. * Work with signal and power integrity engineers to confirm interconnect and power designs hold up once they leave simulation and reach the lab. Partner & Supply Chain Engineering * Evaluate ODM/OEM and component vendor proposals against SambaNova's system requirements, and decide where to build in-house, buy off the shelf, or co-develop with a partner. * Flag schedule or technical risk in partner designs early, and drive the changes needed to close the gap. * Maintain a working map of the vendor and technology landscape - boards, interconnect, power, cooling - that feeds SambaNova's platform roadmap. Bring-Up, Qualification & Field Reliability * Define the bring-up, validation, and qualification plan for each new platform, including the reliability (RAS) and telemetry targets it needs to hit once it's running in a customer's data hall. * Lead root-cause investigations when a platform's measured behavior in the lab or field diverges from the architecture's projections. Cross-Team Technical Leadership * Partner with the SambaFlow software/compiler team, ML performance, and datacenter operations so system architecture choices actually help the workloads running on top of them. * Brief executive leadership on architecture tradeoffs and keep the roadmap aligned to customer and product priorities. * Mentor engineers on system architecture methodology, and help build the review process and spec standards the team uses going forward. ## Related Videos - [This App Reached 10,000 Users in One Week. 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