Solutions Engineer

NeuReality • San Jose, CA

1d • Remote

About The Position

At NeuReality, we’re redefining AI deployment with a purpose-built inference platform that unifies silicon, system software, and orchestration enabling unmatched efficiency, performance, and scale for AI inference. We are looking for a hands-on Solutions Engineer / FAE to lead customer deployments and technical engagements, ensuring the successful integration, operation, and performance of a complex distributed platform in real-world environments.

Requirements

• Customer-facing technical experience.
• Ability to lead POCs, run demos, deploy systems, and troubleshoot live customer environments end-to-end.
• 3+ years of hands-on experience with Linux, containers (Docker), and system-level debugging.
• Experience with Kubernetes and distributed systems, including deployment and troubleshooting in production environments.
• Ability to analyze system performance and troubleshoot bottlenecks.
• Solid understanding of networking fundamentals (latency, throughput, resource utilization).
• Experience working with cloud or on-prem infrastructure environments (AWS, Azure, GCP, or data center setups).
• Must be located in California to support collaboration within the Pacific Time Zone.

Nice To Haves

• Exposure to AI / ML infrastructure or inference workloads.
• Hands-on experience with observability tools (e.g., Prometheus, Grafana).
• Familiarity with GPU-based systems or high-performance environments.

Responsibilities

• Lead customer deployments and technical engagements.
• Ensure successful integration, operation, and performance of a complex distributed platform in real-world environments.
• Lead Proof of Concepts (POCs).
• Run demos.
• Deploy systems.
• Troubleshoot live customer environments end-to-end.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed