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Hammerspace

Forward Deployed Engineer

Hammerspace

Forward Deployed Engineer optimizing Hammerspace’s unified data platform for customer AI and HPC workloads. Building integrations, automation, and architectures across hybrid-cloud environments in Dallas.

Posted 8/5/2026full-timeDallas • Texas • 🇺🇸 United StatesMid-LevelSenior💰 $200,000 - $240,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in GPU orchestration, AI/ML data pipelines, and high-performance file systems, with a strong ability to design and implement data architectures in hybrid-cloud environments. Proficient in developing production-grade tools and integrations while effectively translating complex technical challenges into actionable insights for diverse stakeholders.

Highest-signal resume keywords
GPU OrchestrationAI/ML Data PipelinesHigh-Performance File SystemsPython ProgrammingKubernetes/Docker

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
GPU OrchestrationAI/ML Data PipelinesHigh-Performance File SystemsPython ProgrammingGo ProgrammingC++ ProgrammingLinux InternalsContainerizationDebugging Complex RoutingProduction-Grade Tool Development
Soft Skills
Problem SolvingCollaborationCommunication
Tools & Technologies
Hammerspace APIsInfiniBandRoCE100GbEKubernetesDocker
Industry Keywords
Hybrid-Cloud EnvironmentsData ArchitectureAutomation ScriptsDistributed EnvironmentsGlobal Data Environment

Tech Stack

Tools & technologies
CloudDockerGoKubernetesLinuxNFSPython

About the role

Key responsibilities & impact
  • Act as the primary technical authority on-site within strategic Lighthouse accounts
  • Become an expert in customer domains to identify and resolve real-world friction points
  • Design and implement data architectures that accelerate AI/ML training pipelines across hybrid-cloud environments
  • Build custom integrations, automation scripts, and last-mile solutions for bespoke infrastructure
  • Identify new business problems, expansion opportunities, and emerging workloads
  • Partner with Rotational Sustaining Engineering to translate field-discovered bugs into core product features
  • Translate complex technical hurdles into actionable insights for data scientists, IT administrators, and executive leadership

Requirements

What you’ll need
  • Deep understanding of GPU orchestration, AI/ML data pipelines, and high-performance file systems (NFS, SMB, S3)
  • Mastery of high-speed networking, including InfiniBand, RoCE, and 100GbE+
  • Ability to debug complex routing, latency, and throughput issues in distributed environments
  • Proficiency in Python, Go, or C++
  • Ability to write production-grade tools and integrations interfacing with Hammerspace APIs
  • Strong Linux internals expertise, including kernel tuning and storage stack performance
  • Knowledge of containerization with Kubernetes/Docker
  • Ability to quickly master the Global Data Environment architecture
  • Ability to deploy the Global Data Environment across heterogeneous storage and cloud providers
  • Ability to work in undefined, high-stakes environments
  • Must live in the Dallas area or be willing to relocate to Dallas; no exceptions

Benefits

Comp & perks
  • Broad range of health plans for medical, dental, vision, life and disability
  • 401k plans
  • Flexible time off