Field Application Engineer - AI Software & Hardware

Tenstorrent Tenstorrent · Semiconductors · Munich, Germany · Customer Engineering

Field Application Engineer focused on AI software and hardware, collaborating with sales and enterprise customers to drive adoption of Tenstorrent's AI products and solutions. Requires strong technical knowledge in AI/ML, deep learning, NLP, computer vision, and experience with AI accelerators and embedded systems.

What you'd actually do

  1. Collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions.
  2. Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
  3. Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.
  4. Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow.
  5. Experience with embedded systems, FPGA Architecture or AI accelerators.

Skills

Required

  • Customer-facing skills
  • Technical enterprise experience
  • AI technologies and frameworks
  • Machine learning
  • Deep learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • PyTorch
  • TensorFlow
  • Embedded systems
  • FPGA Architecture
  • AI accelerators
  • Data center architecture
  • Server architecture
  • Infrastructure management

Nice to have

  • Field engineer
  • Solutions architect
  • Sales Engineer
  • Solutions Engineer
  • Technical Account Manager

What the JD emphasized

  • 5+ years of relevant technical, enterprise experience
  • Proven expertise in AI technologies and frameworks
  • Experience with embedded systems, FPGA Architecture or AI accelerators.
  • Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.

Other signals

  • customer-facing role
  • drive adoption of products
  • technical expertise
  • AI technologies and frameworks