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Embed with enterprise customers to design, build, and deploy production GenAI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, drive product feedback, support sales evaluations/POCs, and create reusable reference architectures and playbooks.

Bring up and optimize foundation models (LLMs and multimodal) on the SambaNova platform. Profile and analyze execution to find bottlenecks across model, compiler, runtime, and hardware layers. Implement optimizations for throughput, latency, memory, and scalability and build tools and benchmarks for large-scale inference.

Own post-sales relationships for enterprise accounts, guide onboarding to full-scale AI deployment, build tailored success plans, monitor adoption, mitigate churn, drive upsell/cross-sell, deliver executive business reviews, and relay customer feedback to Product and Engineering.

Serve as the primary post-sales partner for enterprise accounts, leading onboarding, adoption monitoring, mitigation of churn risk, and expansion. Build tailored success plans, coordinate cross-functional delivery, deliver executive business reviews, drive upsell/cross-sell, and relay customer feedback to Product and Engineering.

The Principal Compiler Engineer will lead compiler engineering, optimizing ML model performance and coordinating with development teams to innovate compiler infrastructure.

As a Senior Cloud SRE, you'll ensure the reliability and performance of our AI inferencing service, handle incident management, and optimize cloud infrastructure and resource utilization.

The ML Features Solutions Engineer will develop, optimize, and deploy core machine learning features for enterprise applications while collaborating with cross-functional teams to ensure production-grade quality and performance.