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)
How to stand out:
Experience in Solutions Engineering / FAE / Pre-sales roles (not just internal engineering)
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