HiringCafe
Posted 2w ago

Solutions Engineer

@ NeuReality
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San Jose, California, United States
HybridFull Time
Responsibilities:leading deployments, running demos, troubleshooting systems
Requirements Summary:Hands-on customer-facing experience leading POCs, demos, deployments and troubleshooting; 3+ years with Linux, Docker, system-level debugging, Kubernetes and distributed systems; performance analysis and networking fundamentals; experience with cloud or on-prem infrastructure (AWS, Microsoft Azure, GCP).
Technical Tools Mentioned:Linux, Docker, Kubernetes, Prometheus, Grafana, AWS, Microsoft Azure, GCP
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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)

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