Forward Deployed Infrastructure Engineer
H
Hyperbolic LabsAI infrastructure
Forward Deployed Infrastructure Engineer - Eastern US, EASTERN TIME ZONEFull-Time
Salary not disclosed
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Job Details
- Required Skills
- KubernetesGrafanaPrometheusLinuxTerraform
Requirements
- Have deep Linux experience and be comfortable working in the CLI, including in broken environments.
- Bring hands-on multinode GPU experience, including NCCL, InfiniBand or RoCE, collective performance debugging, topology, and placement.
- Be able to triage GPU-node hardware faults, including XID and ECC errors, and use dmesg, lspci, and nvidia-smi.
- Have experience provisioning and operating GPU clusters with Kubernetes, Slurm, or both.
- Be comfortable working directly with customers, including delivering bad news and attributing faults confidently.
- Use sound judgment to decide when to continue investigating and when to escalate.
- Preferred: Experience with parallel filesystems such as Weka, Lustre, or GPFS and high-performance storage.
- Preferred: Production experience with Grafana, Prometheus, or similar observability stacks.
- Preferred: Prior forward deployed engineer, solutions architect, or technical account manager experience.
- Preferred: Infrastructure as code experience with Terraform or Ansible, and CI for cluster provisioning.
- Preferred: Practitioner-side exposure to model training or inference workloads.
Responsibilities
- Build, validate, and benchmark new customer clusters, then hand them over with documentation.
- Debug multinode and NCCL performance issues, GPU and hardware faults, driver and fabric issues, and container and scheduler problems.
- Coordinate provider escalations involving maintenance windows, RMAs, hung nodes, and disputed fault attribution.
- Own named customer accounts, learn their workloads, and advise them on infrastructure changes.
- Own monitoring and alerting for customer clusters using Grafana, Prometheus, or similar tools.
- Automate repeat work and turn escalations into runbooks for the L1 tier.
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