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SambaNova Systems

Forward Deployment Engineer

RemoteUnited States only
Published
Role
AI / ML
Experience
Senior
Employment
Full-time
$138k–$170k/yr
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Forward deployed engineer with 5+ years shipping production AI/ML systems. Must be strong in GenAI app development, LLM orchestration, RAG, Python, cloud AI deployments, Kubernetes/Docker, and customer-facing technical work. US remote role with up to 50% customer-site travel.

Core skills

LLM orchestrationRAGPython

Required skills

LangChainLlamaIndexDSPyPrompt engineeringAWSAzureGCPKubernetesDockerMLOps

Optional skills

C++CUDAAI acceleratorsCustom siliconTPUsLow-level GPU programmingVLLMSGLang

What you'll do

  • 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.
  • Act 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.

What they require

  • 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, prompt engineering, and evaluation pipelines.
  • Strong foundations in ML fundamentals including model training, fine-tuning, inference optimization, quantization, and performance benchmarking.
  • Proficiency in Python is required.
  • Experience deploying AI workloads on cloud infrastructure and familiarity with containerization, orchestration, 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.
  • Preferred: Experience with AI accelerators or custom silicon.
  • Preferred: Enterprise AI deployments in regulated industries.

Benefits

  • Competitive total rewards package including base salary, equity, and 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.
  • Full subscription to Headspace.
  • Gympass+ membership with access to physical gyms.
  • One Medical membership.
  • Counseling services with an Employee Assistance Program.

SambaNova Systems provides SambaNova Suite, a full-stack generative AI platform from chip to model for enterprise and government organizations, delivered on-premises or in the cloud.

AI

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$138k–$170k/yr