SambaNova
Forward Deployment Engineer
$138K–$170K
Remote - US · Remote · Full-time · Posted Jul 14, 2026
- Experience
- 5+ years of hands-on engineering experience.
- Education
- Bachelor's or graduate degree in Computer Science, Electrical Engineering, Mathematics, Physics, or equivalent practical experience.
About the job
Embeds with enterprise customers to build, deploy, and optimize production GenAI applications on SambaNova’s SN40L platform and SambaStack.
What you'll do
- Design and implement customer-specific LLM workflows, including RAG, multi-agent systems, fine-tuning, and coding solutions.
- Optimize inference performance and troubleshoot production issues across model, software, and hardware layers.
- Translate field needs into product feedback, support customer evaluations, and create reusable deployment resources.
What they ask for
- 5+ years of hands-on engineering experience shipping production AI/ML systems.
- Expertise in GenAI application development, including LLM orchestration, RAG, agentic frameworks, prompt engineering, and evaluation pipelines.
- Strong ML foundations in training, fine-tuning, inference optimization, quantization, and benchmarking; Python proficiency required.
- Experience deploying AI workloads on cloud infrastructure and familiarity with containerization, orchestration, and MLOps tooling.
Nice to have
- C++ or CUDA; experience with AI accelerators or custom silicon.
- Familiarity with VLLM / SGLang or enterprise AI deployments in regulated industries.
Pay
$138,000 — $170,000 USD (base salary)
Tools
SN40L, SambaStack, LangChain, LlamaIndex, DSPy, Python, AWS, Azure
AI focus
Builds and deploys production GenAI applications, including LLM workflows, RAG pipelines, multi-agent systems, fine-tuning, and inference optimization.
Model-written summary · the original posting is authoritative