Solutions Architect - US

FuriosaAI, Inc.; Santa Clara (CA); Hybrid; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

FuriosaAI, Inc. in Santa Clara, CA, seeks a Solutions Architect to lead technical deployments of RNGD RNGD NPU-based AI models for US customers.

You will translate complex hardware/software capabilities into deployable, customer-ready solutions and drive live benchmarking and debugging in customer environments. You will collaborate with the US BD/Sales team during pre-sales, develop deep product expertise, and help customers adopt best practices post-purchase while traveling to sites and HQ as

Qualifikationen

• 2–5 years in a US customer-facing technical role in AI infra or semiconductor.
• Active on AI/LLM landscape and model/framework evolution.
• Hands-on with modern inference stacks: vLLM, SGLang, TensorRT-LLM, Triton.
• Experience with orchestration tools: LangChain, LlamaIndex, LangGraph, AutoGen.
• Proficient in Python; familiar with PyTorch or TensorFlow.
• Strong written and verbal communication; able to engage with ML engineers and executives.
• Authorized to work in the US; able to travel to customer sites and Seoul HQ.

Aufgaben

• Own end-to-end technical enablement for US customers deploying AI models on RNGD NPU using the Furiosa SDK.
• Develop POCs, benchmarking studies, and live debugging sessions in customer environments.
• Act as the technical authority to the US BD/Sales team during pre-sales and enterprise evaluations; translate technical capability into business value.
• Develop deep expertise in FuriosaAI's hardware and software; present at US technical forums and workshops.
• Onboard and train customers on integration patterns, optimization workflows, and best practices post-purchase.
• Serve as a technical feedback loop from US customers back to Seoul HQ product and engineering teams.

Kenntnisse

Customer-facing tech

AI infra knowledge

Python

ML frameworks

Technical communication

US work authorization

Tools

vLLM

SGLang

TensorRT-LLM

Triton Inference Server

LangChain

LlamaIndex

LangGraph

Jobbeschreibung

Solutions Architect - US

Santa Clara, California | Business

About FuriosaAI

FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea and Silicon Valley, along with a compiler-focused R&D lab in Lisbon.

Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise.

About the Role

FuriosaAI is looking for a Solutions Architect to bring the full potential of our powerful RNGD chips/servers to our customers by acting as the primary technical authority in AI/LLM model deployments. From running POCs to benchmarking and debugging, you will translate RNGD’s powerful system to real-world deployments of customers’ models, empowering customers with FuriosaAI’s powerful solutions.

If you are interested in providing the technical expertise in challenging the current status-quo of AI infrastructure in real-world environments, join us in our path to a sustainable future of AI.

Key Responsibilities

• Own end-to-end technical enablement for US customers deploying AI models on FuriosaAI's RNGD NPU using the Furiosa SDK
• Develop POCs, benchmarking studies, and live debugging sessions directly in customer environments
• Act as the technical authority to the US BD/Sales team during pre-sales and enterprise evaluations; translate deep technical capability into business value for engineering and C-suite audiences
• Develop deep, current expertise in FuriosaAI's hardware and software stack and demonstrate it at US technical forums, AI conferences, and customer workshops
• Onboard and train customers on integration patterns, optimization workflows, and best practices post-purchase
• Serve as a technical feedback loop from US customers back to Seoul HQ product and engineering teams

Minimum Qualifications

• 2–5 years in a US customer-facing technical role: Solutions Architect, Sales Engineer, Forward Deployed Engineer, or equivalent at an AI infra, cloud, or semiconductor company
• Actively current on the AI/LLM landscape — tracking model releases, inference frameworks, and serving stack evolution in real time
• Hands-on experience with modern inference stacks: vLLM, SGLang, TensorRT-LLM, Triton Inference Server, or similar
• Hands-on experience with agent and orchestration frameworks: LangChain, LlamaIndex, LangGraph, AutoGen, or MCP-based tooling
• Proficiency in Python; comfortable with DNN frameworks (PyTorch, TensorFlow)
• Strong written and verbal communication — able to engage credibly with ML engineers at frontier labs and VP/C-suite executives
• Authorized to work in the US; able to travel to customer sites and to Seoul HQ periodically

Preferred Qualifications

• Prior experience at a US AI chip company, cloud silicon team, or AI infrastructure startup
• Familiarity with NPU/GPU accelerator ecosystems, PCIe integration, and data center hardware deployment
• Experience with inference optimization: quantization, kernel tuning, batching strategies, memory bandwidth optimization
• Proficiency in C, C++, or Rust
• Experience working with distributed or cross-timezone engineering teams

Why Join FuriosaAI

The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up.

With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.

At Furiosa, you will:

Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.

Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.

Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.

Partner With the Industry's Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.

Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.