Staff Field Application Engineer, Customer Success

Tenstorrent•Santa Clara, CA

1d•Hybrid

About The Position

Tenstorrent is seeking a Field Application Engineer who is passionate about AI/ML and skilled in real-world problem-solving. This role involves collaborating closely with the sales team and enterprise customers to drive the adoption of Tenstorrent's products and solutions. It is a customer-facing position requiring deep technical expertise in AI, excellent communication skills to convey complex technical concepts to diverse stakeholders, and a desire to build with the people using the company's products. The role is hybrid and based in Santa Clara, CA. Tenstorrent welcomes candidates at various experience levels, with the final level determined during the interview process.

Requirements

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.
Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge.
Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.
Eligibility to access U.S. export-controlled technology, subject to U.S. export laws and regulations.

Nice To Haves

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.
You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon.

Responsibilities

Collaborate closely with the sales team and enterprise customers, leveraging deep technical knowledge in AI to drive the adoption of our 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.
Explore and push the boundaries of AI performance on custom silicon and help developers do the same.
Master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.