Solutions Architect, AI Factory Infrastructure
NVIDIAFull Time
Entry Level & New Grad
Candidates should possess 5+ years of experience in AI/ML infrastructure, cloud computing, or hardware sales engineering, with hands-on experience utilizing AI frameworks such as TensorFlow and PyTorch. Fluency in both English and Arabic (written and spoken) is required.
The AI Solutions Architect will conduct technical demos and Proof of Concepts (PoCs) to evaluate Groq’s AI acceleration technology, articulate technical differentiators of Groq LPUs, assist AEs in responding to RFPs and customer inquiries, and work closely with Solutions Architects and Forward Deployed Engineers for deeper technical validation.
AI inference technology for scalable solutions
Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.