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Tenstorrent is seeking a Field Application Engineer to drive adoption of its AI platform among enterprise customers. You will serve as a technical bridge between the sales team and customers, leveraging deep AI/ML expertise to solve real-world problems and demonstrate how Tenstorrent's high-performance RISC-V CPU and AI solutions deliver superior performance, ease of use, and cost efficiency.
In this hybrid role based in Tokyo, you will engage directly with enterprise customers in technical meetings, presentations, and workshops to understand their challenges and provide effective solutions. You'll work closely with sales operations and product teams, translating customer feedback into product enhancements and roadmap insights. Your role requires fluency in both technical depth and business communication—the ability to explain complex AI concepts to researchers, executives, and skeptical stakeholders alike.
You will explore how to optimize AI performance on custom silicon, help customers fine-tune LLMs and vision models, and build AI pipelines that run at scale. Your field insights will directly shape the company's product direction and go-to-market strategy.
Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems. The company is building cutting-edge AI technology that unifies innovations in software models, compilers, platforms, networking, and semiconductors.
REQUIREMENTS:
- 5+ years of relevant technical, enterprise experience (Sales Engineer, Solutions Engineer, Technical Account Manager, or equivalent field role)
- Fluent in Japanese and business-level English (mandatory)
- Proven expertise in AI technologies and frameworks: machine learning, deep learning, natural language processing (NLP), computer vision, PyTorch, or TensorFlow
- Experience with GPU, CUDA, or AI accelerators; familiarity with hardware/software co-optimization
- Good understanding of data center and server architecture, deployment, thermal/power management, and infrastructure
- Strong customer-facing and communication skills
- Background in AI/ML trenches (field engineering, solutions architecture, or similar hands-on technical roles)
