TL;DR
Senior Systems Engineer (AI): Executing end-to-end deployment and bringup of AI infrastructure across data center environments with an accent on system validation, firmware configuration, and performance optimization. Focus on building repeatable automation processes and ensuring the reliability of large-scale infrastructure for frontier AI workloads.
Location: Must be based in Seattle, US
Company
hirify.global is a startup building high-performance AI infrastructure designed to power large-scale training and inference.
What you will do
- Execute end-to-end bringup of infrastructure nodes and racks from installation to production readiness.
- Validate BIOS, BMC, and firmware configurations across high-density hardware.
- Perform system performance validation and node-to-node troubleshooting in distributed environments.
- Contribute to infrastructure automation to improve deployment speed and operational reliability.
- Coordinate with hardware vendors and cross-functional teams to resolve deployment and system issues.
Requirements
- 5–8+ years of experience in infrastructure engineering, hardware deployment, or data center operations.
- Strong Linux systems knowledge and hands-on experience in distributed systems.
- Ability to work onsite in data center environments.
- Experience troubleshooting complex hardware and infrastructure performance issues.
Nice to have
- Experience in AI/ML infrastructure or high-performance computing (HPC) environments.
- Proficiency with automation tools such as Python, Ansible, Terraform, or Bash.
- Previous experience working in high-density data center environments.
Culture & Benefits
- Fast-paced startup environment with an emphasis on ownership and a bias toward action.
- Opportunity to build foundational infrastructure from zero to scale.
- Deep involvement in cutting-edge AI hardware and large-scale system architecture.
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