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About the Role
SambaNova is hiring a Forward Deployed Engineer (FDE) for our SambaStack based product portfolio in our Customer Success Organization. This role involves embedding directly with strategic enterprise customers to design, build, and deploy production GenAI applications on SambaNova's SN40L platform and SambaStack based product portfolio.
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.
Requirements
- 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
- GenAI application development
- LLM orchestration
- RAG
- Agentic frameworks (LangChain, LlamaIndex, DSPy)
- Prompt engineering
- Evaluation pipelines
- ML fundamentals
- Model training
- Fine-tuning
- Inference optimization
- Quantization
- Performance benchmarking
- Python
- C++
- CUDA
- Cloud infrastructure (AWS, Azure, GCP)
- Containerization
- Orchestration (Kubernetes, Docker)
- MLOps tooling
- AI accelerators
- Custom silicon (TPUs etc.)
- CUDA / low-level GPU programming
- VLLM / SGLang
- Enterprise AI deployments in regulated industries
Experience Level
- 5+ years of hands-on engineering experience
Education Level
- Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience.
Salary/Compensations
- ¥10,500,000—¥13,000,000 JPY
Benefits
- Equity
- 95% premium coverage for employee medical insurance
- 77% premium coverage for dependents
- Health Savings Account (HSA) with employer contribution
- Dental insurance
- Vision insurance
- Short/Long term Disability insurance
- Basic Life insurance
- Voluntary Life insurance
- AD&D insurance
- Flexible Spending Account (FSA) options (Health Care, Limited Purpose, and Dependent Care)
- Headspace subscription
- Gympass+ membership
- One Medical membership
- Counseling services with an Employee Assistance Program
About the Company
- 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.
- 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.
- 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 AI inference platforms, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture.
- Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.
Equal Opportunity
- SambaNova Systems is an Equal Opportunity/Affirmative Action Employer.
- All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.