Forward Deployed Engineer

Jobtailor; Dallas (TX); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor seeks a on-site principal technical authority for Lighthouse accounts in Dallas, driving GPU orchestration and AI/ML data pipelines. You will master customer domains, design hybrid-cloud data architectures, and deliver bespoke integrations and automation tools across diverse storage and cloud environments.

The role requires deep Linux internals knowledge, proficiency in Python/Go/C++, and experience with Kubernetes/Docker. Relocation to Dallas is required where needed.

Qualifications

• 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

Responsibilities

• 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.

Skills

GPU orchestration

AI/ML pipelines

High-performance FS

Python programming

Go programming

C++ programming

Linux internals

Containerization

Kubernetes

Docker

Debugging routing

Production-grade tools

Tools

Hammerspace APIs

InfiniBand

RoCE

100GbE

Kubernetes

Docker

Job description

• 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

• 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

Core Competencies

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 Orchestration


• AI/ML Data Pipelines


• High-Performance File Systems


• Python Programming


• Kubernetes/Docker

ATS Optimization Keywords

Hard Skills

• GPU Orchestration


• AI/ML Data Pipelines


• High-Performance File Systems


• Python Programming


• Go Programming


• C++ Programming


• Linux Internals


• Containerization


• Debugging Complex Routing


• Production-Grade Tool Development

Soft Skills

• Problem Solving


• Collaboration


• Communication

Industry Keywords

• Hybrid-Cloud Environments


• Data Architecture


• Automation Scripts


• Distributed Environments


• Global Data Environment

Tools & Technologies

• Hammerspace APIs


• InfiniBand


• RoCE


• 100GbE


• Kubernetes


• Docker