Field Application Engineer
Tenstorrent is an AI-computing company that sells AI hardware and licenses AI and RISC-V intellectual property.
Funding history
Investors
About Tenstorrent
Tenstorrent builds computers for AI, including AI processors, scalable server systems, and open-source software and compiler tooling. It also licenses AI and RISC-V IP for customers building customized silicon.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will work directly with enterprise customers and sales teams to solve AI and machine-learning challenges and drive adoption of technical products and solutions. You will explain complex concepts to technical and non-technical stakeholders through meetings, presentations, and workshops. You will bring customer feedback to sales operations and product teams to help shape product enhancements.
Requirements
- Have 5+ years of relevant technical enterprise experience in roles such as Sales Engineer, Solutions Engineer, or Technical Account Manager.
- Be fluent in Japanese and have business-level English.
- Demonstrate expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing, computer vision, PyTorch, or TensorFlow.
- Have experience with GPUs, CUDA, or AI accelerators.
- Understand hardware/software co-optimization for efficient edge inference.
- Understand data center and server architecture, deployment, thermal and power considerations, and infrastructure management.
Responsibilities
- Collaborate with sales teams and enterprise customers to drive adoption of AI products and solutions.
- Engage customers through meetings, presentations, and workshops to understand technical challenges and provide solutions.
- Explain complex technical concepts to non-technical stakeholders.
- Provide customer feedback to sales operations and product teams to inform product enhancements.
Hiring Process
Candidates are assessed for the appropriate level during the interview process; offers align with the assessed level.