SambaNova Systems

Lead the reliability, scalability, and performance of SambaNova’s production AI inferencing platform across global cloud and on-premises environments. This principal-level role combines platform engineering, automation, observability, capacity planning, and incident response for customer-facing services.

Optimize and scale frontier foundation models on SambaNova’s reconfigurable dataflow platform, bridging deep learning with compiler, runtime, and hardware performance. You’ll drive breakthroughs in throughput, latency, and efficiency for large-scale AI inference.

Build high-performance runtime and system software for SambaNova’s distributed AI and HPC platforms. This role spans kernel and driver support, user-space libraries, workload orchestration, and performance-focused tools for next-generation AI hardware.

Cloud Platform Architect responsible for building and scaling SambaNova’s internal developer platform and production cloud infrastructure for advanced AI workloads. The role spans Kubernetes, multi-cloud and hybrid environments, networking, observability, and platform reliability.

Lead the technical direction and end-to-end architecture of SambaStack, an enterprise-grade AI inference platform for large-scale foundation model workloads. This high-impact role focuses on distributed systems, Kubernetes, developer experience, and scalable production infrastructure.

Lead hands-on development of SambaRack infrastructure software that monitors, controls, updates, and diagnoses rack-scale AI systems. This Principal Engineer role combines distributed systems, hardware-software integration, observability, and production infrastructure reliability.

Lead hands-on development of the software controlling, monitoring, updating, and diagnosing SambaRack rack-scale AI infrastructure. This high-impact role focuses on systems software, distributed infrastructure, and hardware-software integration across production and air-gapped environments.

Lead the architecture and hands-on development of SambaRack’s infrastructure and hardware-management software for rack-scale AI systems. You will shape platform strategy, reliability, observability, and control-plane services across enterprise and air-gapped deployments.