Solutions Architect - US

furiosa-ai· Business (Global)
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📍 Santa ClaraFullTime

About this role

About the Job

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.

What You’ll Do

  • 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

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

Contact

  • recruit@furiosa.ai

Frequently Asked Questions

Is the salary disclosed for the Solutions Architect - US position at furiosa-ai?
The salary for this Solutions Architect - US role at furiosa-ai is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Solutions Architect - US position at furiosa-ai located?
This Solutions Architect - US role at furiosa-ai is based in Santa Clara. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Solutions Architect - US role at furiosa-ai full-time or part-time?
This is listed as a FullTime position. It is posted as a Solutions Architect - US role in the Business (Global) department at furiosa-ai.
Which team or department does the Solutions Architect - US at furiosa-ai belong to?
This Solutions Architect - US position is part of the Business (Global) department at furiosa-ai. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Solutions Architect - US position at furiosa-ai?
Click the "Apply Now" button on this page. You will be redirected to furiosa-ai's official application portal hosted on ashby where you can submit your application directly.
When was the Solutions Architect - US job at furiosa-ai posted?
This Solutions Architect - US position at furiosa-ai was posted on May 18, 2026. Apply as soon as possible — early applications are often reviewed first.
Solutions Architect - US
furiosa-ai
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