Staff Field Application Engineer

Join our team as a Staff Field Application Engineer, where you'll leverage your deep technical knowledge in AI to drive the adoption of our products and solutions. This customer-facing role requires excellent communication skills to convey complex technical concepts to non-technical stakeholders. You'll work directly with customers to understand their technical challenges and provide effective solutions, while also partnering closely with sales operations and product teams to shape future product enhancements.

• Collaborate closely with the sales team and enterprise customers to drive the adoption of AI products and solutions.
• Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
• Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.
• We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting
• You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon
• You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
• You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life
• Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager)
• Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow
• Experience with embedded systems, FPGA Architecture or AI accelerators
• Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management