Systems Engineer (Network / Storage / Systems)
Systems Engineer architects, validates, and operationalizes networking, storage, and hardware infrastructure for large-scale AI compute environments. Requires 7+ years in systems engineering with expertise in hardware bring-up, debugging, and vendor management in fast-paced settings.
Key Responsibilities
- Own system engineering workstreams across one or more critical domains including networking, storage, system validation, or bring-up.
- Design and improve top-of-network architectures spanning frontend, WAN, OOB, firewall, and adjacent infrastructure layers.
- Drive logical network readiness including routing, configuration management, provisioning, and issue resolution.
- Define storage architectures across in-rack, in-pod, cluster, and cloud tiers with focus on performance, lifecycle, and cost efficiency.
- Evaluate vendor hardware and infrastructure proposals, providing technical feedback on architecture, reliability, and operational fit.
- Lead system bring-up for new hardware platforms including imaging, provisioning, validation, and readiness for production deployment.
- Debug complex system faults across firmware, NIC, GPU, server, and platform layers; drive root cause analysis with internal teams and external vendors.
- Build tools and automation that improve lab operations, SKU onboarding, fleet readiness, and deployment velocity.
- Partner with hardware, clusters, and operations teams to translate new compute platforms into stable production environments.
- Establish repeatable engineering standards, operational processes, and readiness gates for future Stargate expansions.
Qualifications
- 7+ years of experience in systems engineering, infrastructure engineering, hardware platforms, or large-scale compute environments.
- Strong technical depth in one or more areas: networking, storage systems, server platforms, firmware, Linux systems, or distributed infrastructure.
- Experience bringing up new hardware systems or clusters in lab or production environments.
- Experience debugging low-level hardware/software issues and driving cross-functional RCA efforts.
- Familiarity with hyperscale infrastructure, AI clusters, HPC environments, or data center systems.
- Experience working with OEM, ODM, JDM, or hardware vendors.
- Strong scripting or software skills in Python, Go, Bash, or similar.
- Ability to operate effectively in fast-moving environments with high ownership and evolving technical requirements.
Preferred Skills
- Experience supporting GPU clusters or accelerator-based infrastructure at scale.
- Familiarity with cluster management, provisioning, or fleet lifecycle tooling.
- Experience with network automation, storage optimization, or systems observability.
- Background working across both hardware and software engineering organizations.
- Experience scaling greenfield infrastructure deployments or rapid expansion programs.
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