Senior System Software Engineer
$250kAcceler8 Talent
System Software Engineer, Node & Cluster Management
Hybrid | Mountain View, CA | Tuesday to Thursday on-site
$250k+ base + RSUs
I'm working with a well-funded AI semiconductor startup building a new processor architecture for frontier-scale language models.
The host software team owns the stack that makes its custom AI hardware usable, from low-level Linux interfaces through node and cluster management. This role will help define how a new compute platform is monitored, controlled, updated, and recovered at datacenter scale.
You'll work on problems such as:
- Building node-level management services for health, telemetry, inventory, and control
- Designing cluster-management and failover capabilities that minimize downtime
- Developing REST APIs and CLI tools for diagnostics, firmware updates, and device recovery
- Creating unified management across host software and OpenBMC firmware
- Extending management capabilities from individual nodes to racks and clusters
- Debugging issues across APIs, daemons, kernel drivers, firmware, and hardware
- Building provisioning, test automation, and monitoring tools for lab systems.
Looking for engineers who have:
- 8+ years of systems-software experience
- Strong Linux systems development and low-level userspace experience
- Experience building REST APIs and CLI tools for hardware or infrastructure management
- An understanding of device drivers, telemetry paths, PCIe devices, and BMC-managed systems
- Experience debugging across software, firmware, and hardware boundaries
- The autonomy to build working software against new and evolving hardware.
Nice to have:
- Redfish, OpenBMC, gNMI, or IPMI experience
- Cluster or fleet management for GPUs or AI accelerators
- Hardware bring-up, lab automation, or manufacturing-test experience
- Firmware-update, secure-boot, or attestation experience.
This is a systems role rather than a conventional web-services position. You'll work close to the hardware while shaping how a first-generation AI platform is operated from a single node through a full cluster.
Candidates must be authorized to work in the United States and able to work from the Mountain View office Tuesday through Thursday.
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