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Forward Deployment Engineer
Location
United States
Posted
1 day ago
Salary
$138K - $170K / year
Seniority
Senior
Job Description
Forward Deployment Engineer
SambaNova Systems
• 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.
Job 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.
Benefits
- 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 plans
- Flexible Spending Account (FSA) options including Health Care, Limited Purpose, and Dependent Care
- Subscription to Headspace
- Gympass+ membership with access to physical gyms
- One Medical membership
- Counseling services with Employee Assistance Program and more.
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