FuriosaAI solution architect must enable customer’s AI applications on FuriosaAI NPUs and optimize customer’s end-to-end inference code with Furiosa SDK.
As Solution Architect at FuriosaAI you will serve as a technical authority and trusted advisor to our business team, customers, partners and community. You will understand and solve our customer’s technical issues with the FuriosaAI solution.
A successful solution architect at FuriosaAI will be focused on technical excellence; taking the initiative to improve both themselves and the team through continuous learning and questioning the status quo.
Develop various AI inference programs with deep understanding on both AI applications and Furiosa SDK
Developing and maintaining a deep understanding of the Furiosa products and solutions to demonstrate the value of our offerings in technical meetings and at events
Train customers on products during and after purchase
Bachelor’s degree in Computer Science or a equivalent work experience
Excellent interpersonal and communication skills for requirement gathering and clarification
Experience of using scripting to automate tasks
Strong analytical and troubleshooting skills
Familiar with Linux OS
Experience with training or inferencing DNN models
Experience with DNN frameworks (e.g., PyTorch, Tensorflow, Keras, …)
Experience with Python
Experience with C, C++ or Rust programming
Top Skills
What We Do
FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications.
Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI.
Our Background
Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips.
The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe.
Our Approach
We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.
