SambaNova Systems Logo

SambaNova Systems

Forward Deployment Engineer

Reposted 2 Months Ago
Remote
Hiring Remotely in United States
138K-170K Annually
Senior level
Remote
Hiring Remotely in United States
138K-170K Annually
Senior level
Embed with enterprise customers to design, build, and deploy production generative AI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, translate field needs to product teams, support technical sales and POCs, develop reusable reference architectures, and present results to customers and internal stakeholders.
The summary above was generated by AI

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.

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About SambaNova

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.


SambaNova is hiring a Forward Deployed Engineer (FDE)  for our SambaStack based product portfolio in our Customer Success Organization. 

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.

Qualifications: 

  • 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.

Bonus qualifications: 

  • Experience with AI accelerators or custom silicon (TPUs  etc.)
  • CUDA / low-level GPU programming
  • Familiarity with VLLM / SGLang
  • Enterprise AI deployments in regulated industries

Base Salary Range:

Base Pay Range
$138,000—$170,000 USD

Submission Guidelines
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified. 

EEO Policy
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.

Benefits Summary for US-Based, Full-Time Employment Positions
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.

Similar Jobs

2 Months Ago
Remote
United States
130K-165K Annually
Senior level
130K-165K Annually
Senior level
Information Technology • Robotics • Software • Consulting
Work with customers to discover high-value AI use cases, design and prototype LLM- and agent-based solutions, build demos and pilots, and support transition to production. Provide technical architecture, documentation, training, governance guidance, and hands-on implementation support across integrations, automation, and evaluation to enable secure, explainable, and measurable AI adoption.
Top Skills: Agentic AiAi Workflow OrchestrationAnthropicAurize AiAws Ai ServicesAzure AiData IntegrationDevOpsEnterprise Application IntegrationGoogle GeminiJavaScriptMicrosoft CopilotOpenaiPrompt EngineeringPythonRagRest ApisRetrieval-Augmented GenerationTest AutomationTypescriptWorkflow Automation
One Month Ago
Remote
United States
120K-200K Annually
Expert/Leader
120K-200K Annually
Expert/Leader
Cloud • Software • Database
Serve as a customer-facing technical advisor to design, implement, and deliver production-grade real-time data solutions using SingleStore. Lead architecture, whiteboard sessions, integration across data pipelines and applications, troubleshoot and optimize deployments, and collaborate with Sales, Product, and Engineering to drive prioritized, feasible solutions into production.
Top Skills: Data PipelinesDistributed SqlDistributed SystemsSinglestoreSQL
20 Minutes Ago
In-Office or Remote
113K-193K Annually
Senior level
113K-193K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Designs AI-enabled healthcare services by mapping current workflows, creating future-state service blueprints, and partnering with product, engineering, clinical, and operations teams. Facilitates Lean and kaizen events, defines operational measures and baselines, develops change-management plans, supports launches, documents repeatable service designs, and promotes safe AI adoption across care teams and markets.
Top Skills: Ai Agent ToolsAi Coding ToolsAnalytics ToolsGitLarge Language ModelsProcess Mapping ToolsSQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account