System Software Engineer — Node & Cluster Management

What MatX Is Building MatX's mission is to make the world’s best AI models run as efficiently as allowed by physics, bringing the world years ahead in AI quality and availability. MatX is seeking System Software Engineer to join our team as we create best-in-class silicon for high-performance and sustainable GenAI. Successful candidates for these roles will be responsible for delivering performant and functionally accurate silicon for MatX products across compute, memory management. High-speed connectivity and other key technologies. The MatX host system software team owns everything that makes our AI silicon and systems usable: from Linux kernel drivers up through node and cluster management. The team also co-owns the BMC/OpenBMC firmware stack, with dedicated firmware engineers, so host software and out-of-band management are designed together rather than bolted together. We're looking for self-driven engineers who can take a hardware spec and a register map and just start building — prototype drivers, low-level utilities that talk directly to the chip, daemons, and tooling — with minimal hand-holding. Each engineer on this team has a primary focus area, but ownership of overlapping components is shared, and you should expect (and want) to venture across the stack. What You'll Do Here

Design and build the node-level management plane for MatX's AI systems: expose node health, inventory, telemetry, and control operations through HTTP/REST endpoints (e.g., Redfish-style or custom APIs) Design and implement cluster management solutions and failover algorithms to minimize downtime Build the management CLI utilities that operators and internal engineers use daily — interacting with the on-node management and telemetry daemons to query state, run diagnostics, update firmware, and recover devices Partner with our BMC firmware engineers to present unified management and observability across in-band and out-of-band paths — so operators see one coherent node, whether data comes from the host daemons or the BMC (e.g., unified Redfish-style views, firmware update orchestration across host and BMC, and recovery flows that work even when the host is down) Extend node-level capabilities to cluster level: fleet-wide health aggregation, device inventory, alerting hooks, and integration points for our customers' own fleet-management systems Get hands-on with the low-level stack: you'll regularly need to drop below the API layer — into the telemetry daemon, driver interfaces, or raw device access utilities — to prototype, debug, or unblock yourself Build tooling and automation for managing lab systems during bring-up: provisioning, test orchestration, regression monitoring Define the software contracts between the on-node daemons, the BMC stack, and the management layer — shared-ownership boundaries you'll co-design Debug production-grade issues spanning management APIs, daemons, kernel drivers, BMC firmware, and hardware Help shape what "manageable at scale" means for a new hardware platform, from single node to full rack to cluster

Who You Are

BS or higher in Computer Science, Electrical Engineering, or equivalent practical experience, with 8+ years in systems software — this is not a pure web-services role; deep low-level systems experience is required Strong hands-on Linux systems development experience, including low-level userspace software; comfortable reading and debugging kernel driver and daemon code Strong programming skills in C plus a systems language suited to services and tooling (Go, Rust, C++, and/or Python) Experience designing and building HTTP/REST APIs and CLI tools for hardware or infrastructure management Solid understanding of how the pieces underneath your APIs actually work — device drivers, telemetry paths, PCIe device behavior, BMC-managed subsystems — and the instinct to go look when something misbehaves Experienced debugging across API, daemon, kernel, firmware, and hardware boundaries Comfortable working with firmware engineers to align host-side and BMC-side management capabilities behind common interfaces Self-driven and pragmatic: able to stand up a working management endpoint against brand-new hardware with minimal specification

Bonus Points If You Have

Experience with Redfish, OpenBMC, gNMI, IPMI, or other datacenter hardware management standards Cluster/fleet management experience for GPU or accelerator infrastructure Experience with hardware bring-up, lab automation, or manufacturing/qualification test infrastructure Familiarity with firmware update orchestration, secure boot, or attestation flows

Compensation The US base salary for this full-time position is determined based on a variety of factors including role, experience, location, job related skills, and relevant education and training. Career length is only a guideline for compensation.

Early Career - $120,000 - $250,000 + equity Mid Career - $175,000 - $362,5