Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Computing, Customer Relations, Debugging Skills, Distributed Computing, Docker, GCP (Good Clinical Practices), GPU (Graphics Processing Unit), Identify Issues, Leadership, Linux Operating System, Microsoft Windows Azure, Network Operations Center, Performance Analysis, Product Demonstration, Production Systems, Resource Utilization, Systems Analysis
Solutions Engineer
\t\t\t
\t\t\t\tCalifornia, USA\t\t\t
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, including the 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, 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)
Candidates must be located in California to support collaboration within the Pacific Time Zone.
How to stand out:
- 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
Apply for this position