Solutions Engineer

Job description

Description 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: - Must have direct, hands-on customer-facing experience , including personally leading POCs, running demos, deploying systems, and troubleshooting live customer environments end-to-end (not just supporting or participating) - 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 , with a 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)...