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.

Contact

• recruit@furiosa.ai