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Solution Architect

FuriosaAI

Seoul, South KoreaOn Site

Original Job Summary

About The Role

FuriosaAI is seeking a Solution Architect to enable customer’s AI applications on FuriosaAI NPUs and to optimize customer’s end-to-end inference code with the Furiosa SDK. In this role, you will serve as a technical authority and trusted advisor to our business team, customers, partners, and community. You will work to understand and resolve customer technical issues using the FuriosaAI solution. Continuous learning, questioning the status quo, and technical excellence are key for success in this role.

Responsibilities

  • Develop diverse AI inference programs understanding both AI applications and the Furiosa SDK
  • Maintain deep product knowledge to demonstrate value in technical meetings and events
  • Train customers on products during and after purchase

Minimum Qualifications

  • Bachelor’s degree in Computer Science or equivalent work experience
  • Excellent interpersonal and communication skills
  • Experience using scripting to automate tasks
  • Strong analytical and troubleshooting skills
  • Familiarity with Linux OS
  • Experience with training or inferencing DNN models and popular frameworks (e.g., PyTorch, TensorFlow, Keras)
  • Experience with Python programming

Preferred Qualifications

  • Experience with C, C++ or Rust programming

Contact

Email your resume to: recruit@furiosa.ai

Key skills/competency

  • AI
  • SDK
  • Inference
  • Linux
  • Python
  • Communication
  • Scripting
  • Troubleshooting
  • Technical
  • Training

How to Get Hired at FuriosaAI

🎯 Tips for Getting Hired

  • Research FuriosaAI: Understand their products, market, and technology.
  • Customize your resume: Highlight AI and SDK expertise.
  • Showcase projects: Detail AI inference and problem solving.
  • Prepare for interviews: Review technical and system design questions.

📝 Interview Preparation Advice

Technical Preparation

Review Furiosa SDK documentation.
Brush up on AI inference programming.
Practice Linux environment troubleshooting.
Revise Python and scripting techniques.

Behavioral Questions

Describe a challenging customer scenario.
Explain your collaborative problem-solving approach.
Detail a time you learned new technologies.
How do you handle project feedback?