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Forward Deployed Infrastructure Engineer
Hyperbolic. Build, validate, and benchmark new customer clusters, then hand them over with documentation .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing and optimizing GPU clusters, with a strong focus on customer engagement and technical troubleshooting. Proficient in using observability tools and automating processes to enhance operational efficiency.
Highest-signal resume keywords
Deep Linux ExperienceMultinode GPU ExperienceGrafana and Prometheus MonitoringInfrastructure as Code (Terraform, Ansible)Customer-Facing Communication
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Multinode GPU ExperienceHardware Fault TriageProvisioning GPU ClustersCollective Performance DebuggingParallel Filesystems (Weka, Lustre, GPFS)Infrastructure as Code (Terraform, Ansible)KubernetesSlurmCLI ProficiencyModel Training or Inference Workloads
Soft Skills
Sound JudgmentCustomer EngagementProblem-SolvingCommunication Skills
Tools & Technologies
GrafanaPrometheusNVIDIA-SMIDmesgLspciInfiniBandRoCE
Industry Keywords
GPU ClustersHigh-Performance StorageFault AttributionEscalation ManagementTechnical Account Management
Tech Stack
Tools & technologiesAnsibleGrafanaKubernetesLinuxNode.jsPrometheusTerraform
About the role
Key responsibilities & impact- Build, validate, and benchmark new customer clusters, then hand them over with documentation
- Provide deep escalations for multinode and NCCL performance, GPU and hardware faults, driver and fabric issues, containers, and schedulers
- Prove fault location, escalate issues to infrastructure providers with evidence, and coordinate maintenance windows, RMAs, hung-node fixes, and disputed fault attribution
- Own named customer accounts and learn their workloads and infrastructure
- Advise customers on changes needed before they encounter issues
- Own monitoring and alerting for customer clusters using Grafana and Prometheus
- Automate repetitive work and convert escalations into L1 runbooks
- Stay embedded with customer environments after cluster handoff
Requirements
What you’ll need- Deep Linux experience and total comfort in the CLI, including in someone else's broken environment
- Hands-on multinode GPU experience: NCCL, InfiniBand or RoCE, collective performance debugging, topology and placement
- Hardware fault triage on GPU nodes: XID and ECC errors, dmesg, lspci, nvidia-smi, thermal and power faults
- Experience provisioning and operating GPU clusters with Kubernetes, Slurm, or both
- Genuine comfort with customer-facing work, including delivering bad news and confidently attributing responsibility
- Sound judgment on when to keep digging and when to escalate
- Experience with parallel filesystems (Weka, Lustre, GPFS) and high-performance storage preferred
- Grafana, Prometheus, or similar observability stacks in production preferred
- Prior forward deployed engineer, solutions architect, or technical account manager experience preferred
- Infrastructure as code (Terraform, Ansible) and CI for cluster provisioning preferred
- Exposure to model training or inference workloads from the practitioner side preferred
- Legally authorized to work in the United States
- Must answer whether employment visa sponsorship is required
Benefits
Comp & perks- Equal opportunity employer
- Inclusive work environment
- Remote work arrangement