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Forward Deployment Engineer

SambaNova· Customer Success
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Hybrid (Tokyo Prefecture, Japan)JPY 10500k - JPY 13000kfull-timePosted 1mo ago

About the role

SambaNova is hiring a Forward Deployed Engineer for the SambaStack-based product portfolio within the Customer Success Organization to embed with enterprise customers, design and deploy GenAI applications, and provide field feedback to product and engineering.

Responsibilities

  • Embed directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio
  • 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
  • Optimize AI inference performance on SambaNova hardware; benchmark model throughput, latency, and accuracy against customer requirements and competitor baselines
  • 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
  • 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
  • Partner with Account Executives and Solutions Engineers to shape technical sales strategy, scope engagements, and demonstrate platform differentiation during evaluations and proof-of-concepts
  • Develop reusable accelerators, reference architectures, and internal playbooks that scale learnings from one deployment to many
  • Present technical findings, architecture decisions, and roadmap input at customer executive briefings and internal forums; represent SambaNova at industry conferences and events

Qualifications

  • 5+ years of hands-on engineering experience, with a strong record of shipping production AI/ML systems
  • Deep expertise in GenAI application development: LLM orchestration, RAG, agentic frameworks (LangChain, LlamaIndex, DSPy), prompt engineering, and evaluation pipelines
  • Strong foundations in ML fundamentals — model training, fine-tuning, inference optimization, quantization, and performance benchmarking
  • Proficiency in Python (required); working knowledge of C++ or CUDA a strong plus for hardware-layer debugging
  • Experience deploying AI workloads on cloud infrastructure (AWS, Azure, GCP) and familiarity with containerization, orchestration (Kubernetes, Docker), and MLOps tooling
  • Comfortable engaging directly with customers: able to run technical discovery, set expectations, push back constructively, and present to executive and practitioner audiences alike
  • Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience
  • Willingness to travel up to 50% to customer sites — flexible based on engagement needs

Skills

Required:PythonLLM orchestrationPrompt engineeringCloud deploymentKubernetes / Docker
Nice to have:C++ or CUDA

Benefits

  • Competitive total rewards package including base salary and equity
  • Health Insurance premium coverage for employee and dependents
  • Dental, Vision, Disability, Life insurance
  • Flexible Spending Accounts (FSA)
  • Employee well-being benefits (Headspace, Gympass+, One Medical, EAP, counseling)
Last updated Sep 20, 2026. Interested? Apply on the company site.

About SambaNova

The Fastest AI Inference Platform

Discover SambaNova - the complete AI platform delivering the fastest AI inference, fine-tuning, and scalable solutions for agentic AI easily integrated into existing data center infrastructures.

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