Dallas-Based Embedded AI/Data Platform Engineer

Hammerspace; Dallas (TX); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Health plans

401k plans

Flexible time off

Job summary

Hammerspace is seeking a Forward Deployed Engineer (FDE) in the Dallas area. You will be embedded at Lighthouse accounts, solving the last-mile problems to make the Global Data Environment the backbone of AI and HPC workloads.

This hybrid, high-leverage role blends software engineering depth with solution architecture and business development, requiring autonomy and strategic communication with data scientists, IT admins, and leadership.

Qualifications

• Deep understanding of GPU orchestration and AI data pipelines.
• Strong Linux internals knowledge including kernel tuning and storage stacks.
• Proficiency in Python, Go, or C++ with production-grade tooling.
• Experience with Kubernetes/Docker and cloud/hybrid environments.

Responsibilities

• Deep Customer Embedding: act as the primary technical authority on-site at Lighthouse accounts.
• AI & Workload Optimization: design data architectures to accelerate AI/ML training pipelines in hybrid-cloud environments.
• The ''Enhanced'' Resident: build custom integrations, automation scripts, and last-mile solutions.
• Business Cultivation: identify new problems and expansion opportunities for account growth.
• Engineering Shield & Feedback Loop: collaborate with Rotational Sustaining Engineering to convert field bugs into features.
• Stakeholder Management: translate technical hurdles into actionable insights for data scientists, IT admins, and executives.

Skills

GPU orchestration

AI data pipelines

C++

Python

Go

Linux internals

Kubernetes

Docker

High-speed networking

Tools

Kubernetes

Docker

Job description

Hammerspace is seeking a Forward Deployed Engineer (FDE) in the Dallas area. You will be embedded at Lighthouse accounts, solving the last-mile problems to make the Global Data Environment the backbone of AI and HPC workloads.

This hybrid, high-leverage role blends software engineering depth with solution architecture and business development, requiring autonomy and strategic communication with data scientists, IT admins, and leadership.