4 дня назад
Senior System Software Engineer (AI)
250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior System Software Engineer (AI): Building node and cluster-management software for custom AI hardware at datacenter scale with an accent on Linux systems development, hardware control, telemetry, and failover. Focus on designing REST APIs and CLI tools, integrating host software with OpenBMC firmware, and debugging across drivers, firmware, and hardware.
Location: Hybrid in Mountain View, California; on-site Tuesday through Thursday. Candidates must be authorized to work in the United States.
Salary: $250,000+ base salary plus RSUs
Company
Work with a well-funded AI semiconductor startup developing a processor architecture for frontier-scale language models.
What you will do
- Build node-level management services for health, telemetry, inventory, and control.
- Design cluster-management and failover capabilities to minimize downtime.
- Develop REST APIs and CLI tools for diagnostics, firmware updates, and device recovery.
- Create unified management across host software and OpenBMC firmware, extending capabilities from nodes to racks and clusters.
- Debug issues across APIs, daemons, kernel drivers, firmware, and hardware.
- Build provisioning, test automation, and monitoring tools for lab systems.
Requirements
- 8+ years of systems-software experience.
- Strong Linux systems development and low-level userspace experience.
- Strong C programming skills plus experience with Go, Rust, C++, or Python.
- Experience building REST APIs and CLI tools for hardware or infrastructure management.
- Understanding of device drivers, telemetry paths, PCIe devices, and BMC-managed systems.
- US work authorization and availability to work from the Mountain View office Tuesday through Thursday.
Nice to have
- Experience with Redfish, OpenBMC, gNMI, or IPMI.
- Cluster or fleet management for GPUs or AI accelerators.
- Hardware bring-up, lab automation, or manufacturing-test experience.
- Firmware updates, secure boot, or attestation experience.
Culture & Benefits
- Work close to the hardware on a first-generation AI platform.
- Shape how the platform is operated from a single node through a full cluster.
- Hybrid work arrangement with three on-site days per week.
- Equity in the form of RSUs.
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