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SambaNova Systems

Supercharge AI apps with SambaNova Cloud! Accelerate your AI journey. Unlock lightning-fast inference on Llama 3.1.

Forward Deployment Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 201-500Since 2017H1B SponsorCompany SiteLinkedIn

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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