About the role
Role Overview:
The Solution Architect will be a critical technical and strategic contributor responsible for both hands-on architecture and engineering support, as well as driving customer engagements and adoption of our advanced Tensor Contraction Processor technologies. You will leverage your extensive experience with AI accelerators, GPGPUs and server LLMs to develop robust enterprise and cloud solutions while building strong, lasting relationships with our customers.
Key Responsibilities:
Technical Leadership & Architecture:
Develop and oversee end-to-end technical architectures for enterprise and cloud-based AI solutions.
Provide technical expertise and hands-on guidance on integrating FuriosaAI AI accelerators, and server LLMs into customer environments.
Collaborate with engineering and product teams to influence product roadmap and feature enhancements based on customer feedback and market trends.
Customer Engagement & Success:
Serve as a trusted advisor to enterprise and cloud customers, translating technical challenges into actionable solutions.
Lead pre-sales activities including technical presentations, proof-of-concepts, and tailored solution demonstrations.
Engage directly with key customers to understand their needs, offer technical guidance, and ensure seamless integration and deployment of our solutions.
Cross-Functional Collaboration:
Partner with Sales, Marketing, and Product teams to develop go-to-market strategies, technical collateral, and customer success stories.
Mentor and lead a team of solution architects and technical experts, fostering continuous learning and collaboration.
Market & Industry Leadership:
Stay abreast of emerging trends in AI hardware, enterprise cloud computing, and related technologies.
Represent FuriosaAI at industry events, conferences, and customer forums, building the brand as a leader in advanced AI acceleration.
Qualifications & Experience:
Technical Expertise:
Proven hands-on experience with GPGPUs, AI Accelerators, and server LLMs in enterprise or cloud environments.
Deep understanding of modern data center architectures, distributed systems, and high-performance computing.
Proficiency in relevant programming languages and frameworks with experience in deploying AI models at scale.
State-of-the-Art AI Performance Benchmarking: Demonstrated expertise using industry-standard benchmarking tools (e.g., MLPerf, vLLM Benchmarking) to analyze and optimize AI model performance across heterogeneous compute architectures.
Customer-Facing Experience:
Demonstrated experience in pre-sales, consulting, or technical leadership roles with direct customer engagements.
Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
Leadership & Strategic Vision:
Previous leadership experience managing technical teams or leading customer initiatives.
Ability to think strategically about market trends, customer needs, and competitive landscapes, driving innovation and product evolution.
Education:
Bachelor’s or Master’s degree in computer science, Electrical Engineering, or a related field. Advanced certifications or equivalent industry experience is a plus.
Language Requirements:
Must be fluent in oral and written English.
Proficiency in Korean is a plus.
What We Offer:
Opportunity to work with cutting-edge AI technologies in a dynamic and innovative environment.
Competitive compensation and benefits package.
A collaborative culture that values creative problem-solving, continuous learning, and professional growth.
The chance to shape the future of AI acceleration for enterprise and cloud markets.