Solution Architect @ FuriosaAI
placeSeoul, South Korea
attach_money $120,000
businessOn Site
scheduleFull Time
Posted 17 hours ago
Your Application Journey
Interview
Email Hiring Manager
***** @furiosa.ai
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Job Details
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
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Review Furiosa SDK documentation.
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Brush up on AI inference programming.
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Practice Linux environment troubleshooting.
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Revise Python and scripting techniques.
Behavioral Questions
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Describe a challenging customer scenario.
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Explain your collaborative problem-solving approach.
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Detail a time you learned new technologies.
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How do you handle project feedback?
Frequently Asked Questions
What technical skills does FuriosaAI seek for a Solution Architect?
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How important is customer training experience for FuriosaAI’s Solution Architect role?
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What programming languages should candidates for FuriosaAI’s Solution Architect be proficient in?
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How does FuriosaAI expect its Solution Architect to handle technical challenges?
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What is the role of continuous learning in the FuriosaAI Solution Architect position?
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