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2 дня назад

Fleet Software Engineer (AI)

200 000 - 350 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Fleet Software Engineer (AI): Building fleet management, deployment, telemetry, monitoring, and recovery systems for inference hardware across labs and customer deployments with an accent on distributed systems, bare-metal provisioning, and reliable software and firmware rollouts. Focus on designing secure infrastructure, investigating failures through logs and metrics, and improving the performance and reliability of large-scale AI inference fleets.

Location: On-site in San Jose (Santana Row), United States

Salary: $200K–$350K per year plus significant equity

Company

hirify.global builds hardware and software for frontier AI inference, co-designing chips, racks, infrastructure, and manufacturing to optimize throughput and latency.

What you will do

  • Build fleet management systems that provision, configure, update, and recover hardware across labs and customer deployments.
  • Implement validated, staged software and firmware rollouts with safe handling of partial failures.
  • Develop telemetry, logging, monitoring, alerting, and analysis systems for rack metrics and fleet behavior.
  • Build secure least-privilege access to BMCs and servers across lab, office, and data center networks.
  • Provide operators with controls for draining, powering down, repairing, and updating managed hardware.
  • Partner with Node Systems, Infrastructure, Customer Deployments, Lab Operations, and Factory Testing to triage incidents and improve fleet reliability.

Requirements

  • Experience building and owning infrastructure software in production, including deployments, incidents, and subsequent improvements.
  • Background in fleet management, provisioning, configuration management, or observability for compute infrastructure or connected devices.
  • Strong distributed systems and Linux fundamentals, including behavior under load, during upgrades, and during component failures.
  • Hands-on Kubernetes and container orchestration experience, including bare-metal environments.
  • Experience with Slurm or similar HPC/GPU cluster schedulers, network boot, and bare-metal provisioning.
  • Strong proficiency in at least one of Go, Python, Rust, or C/C++, plus strong debugging and communication skills.

Nice to have

  • Experience with telemetry and log pipelines, bare-metal servers, accelerator clusters, HPC, robotics, or hardware fleets.
  • Experience with firmware updates, hardware diagnostics, automated recovery, BMC, Redfish, or IPMI.
  • Experience with customer-environment software, Docker, kernel and driver systems, PCIe, networking, or failure-injection frameworks.

Culture & Benefits

  • Fully in-person work in San Jose, with collaboration across hardware, firmware, software, and research.
  • Medical, dental, and vision coverage with generous premium support.
  • $500 monthly credit for waiving medical benefits.
  • $2,500 monthly housing subsidy for employees living within walking distance of the office.
  • Relocation support for moving to San Jose, wellness benefits, daily lunch and dinner, and an unlimited compute budget subject to ROI justification.

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