<div class="content-intro"><p style="text-align: left;"><span style="font-size: 12pt;">SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.</span></p></div><p>Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform.</p> <p>Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own <strong>AI inference platforms</strong>, powered by our <strong>state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture</strong>. Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.</p> <p> </p> <p><strong>SambaNova is hiring a Forward Deployed Engineer (FDE) for our SambaStack based product portfolio in our Customer Success Organization. </strong></p> <p><strong>Responsibilities: </strong></p> <ul> <li>Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio</li> <li>Architect and implement LLM-powered workflows — including RAG pipelines, multi-agent systems, fine-tuning workflows, and coding solutions — tailored to each customer's data, infrastructure, and business goals.</li> <li>Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines.</li> <li>Troubleshoot and resolve production issues end-to-end across model, software, and hardware layers — acting as the first and last line of technical escalation in the field.</li> <li>Translate customer needs into clear product requirements and engineering feedback; serve as the primary voice of field reality to SambaNova's Product and Engineering teams.</li> <li>Partner with Account Executives and Solutions Engineers to shape technical sales strategy, scope engagements, and demonstrate platform differentiation during evaluations and proof-of-concepts.</li> <li>Develop reusable accelerators, reference architectures, and internal playbooks that scale learnings from one deployment to many.</li> <li>Present technical findings, architecture decisions, and roadmap input at customer executive briefings and internal forums; represent SambaNova at industry conferences and events.</li> </ul> <p><strong>Qualifications: </strong></p> <ul> <li>5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems.</li> <li>Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines.</li> <li>Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking.</li> <li>Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging.</li> <li>Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling.</li> <li>Comfortable engaging directly with customers: able to run technical discovery, set expectations, push back constructively, and present to executive and practitioner audiences alike.</li> <li>Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience.</li> <li>Willingness to travel up to 50% to customer sites — flexible based on engagement needs.</li> </ul> <p><strong>Bonus qualifications: </strong></p> <ul> <li>Experience with AI accelerators or custom silicon (TPUs etc.)</li> <li>CUDA / low-level GPU programming</li> <li>Familiarity with VLLM / SGLang</li> <li>Enterprise AI deployments in regulated industries</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>Base Salary Range:</p></div><div class="title">Base Pay Range</div><div class="pay-range"><span>¥10,500,000</span><span class="divider">—</span><span>¥13,000,000 JPY</span></div></div></div><div class="content-conclusion"><p><strong><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Submission Guidelines<br></span></strong><span style="font-family: helvetica, arial, sans-serif; font-size: 12pt;">Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an appli