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d-Matrix

Delivers memory-integrated AI compute platforms

Head of Platform Software

Engineering LeadershipPosted on Nov 11
Full-timeSanta Clara, CA, USA$220k - $330k /yrHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience.
  • At least 12 years of systems software experience, including substantial experience with rack-scale, cluster-scale, or large server infrastructure.
  • A track record of taking a platform or infrastructure program from design to shipped software with milestones.
  • Depth in several of the following areas: hardware bring-up, device and firmware interfaces, BMC and out-of-band management, fleet management, and fault handling.
  • Hands-on experience with BMC and out-of-band management standards, including Redfish, OpenBMC, and PLDM, and firmware update frameworks.
  • Experience building and leading engineering teams, including hiring, growing leaders, and managing cross-functional dependencies.
  • Strong judgment in interface and contract design between systems layers.

Responsibilities

  • Own node, rack, and cluster bring-up software, including discovery, provisioning, configuration, and readiness gating before workload traffic, in partnership with the fabric software team.
  • Define and maintain a versioned interface between the platform layer and the workload stack, including fabric manager, runtime, and schedulers, with explicit state transitions and events pushed to consumers rather than inferred.
  • Own device and link discovery and health, and publish normalized state and events for devices and links across their lifecycle.
  • Drive fault detection and classification, including severity-based handling, escalation paths, and hand-offs to recovery owners and data center operations.
  • Own firmware, BMC, and low-level platform software integration, packaging, and update flows.
  • Deliver health telemetry, diagnostics integration, and fleet monitoring for deployed clusters, and integrate with orchestration so the platform layer owns device and fabric readiness.
  • Build tooling and recipes to turn up, stabilize, and hand off initial clusters to production operations at a defined readiness threshold, with feedback loops to hardware, diagnostics, manufacturing, and field teams.
  • Hire and lead the platform software team, owning technical direction, milestones, quality, and on-call, and turn architecture into owned, dated deliverables.

Desired Qualifications

  • A master's degree in a related field.
  • Experience with accelerator or GPU infrastructure, including taking a new hardware platform from early silicon through first customer deployments.
  • Experience with high-speed interconnect and fabric software such as PCIe, NVLink-class, CXL, RDMA, InfiniBand, or Ethernet-based fabrics.
  • Experience with Kubernetes, device plugins, and cluster lifecycle tooling.

About the Company

d-Matrix

Delivers memory-integrated AI compute platforms

d-Matrix provides scalable AI compute platforms for large datacenters with a focus on energy efficiency. Its core offering, the digital in-memory compute (DIMC) engine, places compute directly in programmable memory and uses a fabric of low-power, modular chiplets plus software to optimize AI inference. It differentiates itself by combining memory-integrated computation with a modular, chiplet-based design that reduces power use and data movement for high-volume workloads. The goal is to help large datacenters run AI workloads more efficiently at scale through customizable, energy-efficient compute solutions.

Company size
201-500
Company stage
Series C
Total funding
$429M
Headquarters
Santa Clara, CA
Founded
2019

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