Forward Deployed Engineer
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Job Description
Forward Deployed Engineer at Hammerspace solving complex data challenges for AI and HPC workloads. Embedding in high-stakes environments to deliver technical solutions and business insights.
Responsibilities:
- Act as the primary technical authority on-site, becoming an expert in the customer’s domain to identify and resolve real-world friction points before they escalate.
- Design and implement data architectures that accelerate AI/ML training pipelines, ensuring low-latency data access across hybrid-cloud environments.
- Build custom integrations, automation scripts, and "last-mile" solutions that bridge the gap between Hammerspace’s core product and the client’s bespoke infrastructure.
- Use your proximity to the action to identify new business problems, expansion opportunities, and emerging workloads that Hammerspace can solve.
- Partner with our Rotational Sustaining Engineering team to translate field-discovered bugs into core product features, ensuring that local fixes become global platform strengths.
- Translate complex technical hurdles into clear, actionable insights for both end-users (data scientists/IT admins) 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 (InfiniBand, RoCE, 100GbE+) and the ability to debug complex routing, latency, and throughput issues in a distributed environment.
- Proficiency in Python, Go, or C++, with the ability to write production-grade tools and integrations that interface with Hammerspace APIs.
- Strong Linux internals expertise, including kernel tuning, storage stack performance, and containerization (Kubernetes/Docker).
- Ability to quickly master the Global Data Environment architecture and deploy it across heterogeneous storage and cloud providers.
Benefits:
- Hammerspace offers a broad range of health plans for medical, dental, vision, life and disability.
- 401k plans
- Flexible time off.
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