Field Application Engineer

Tenstorrent
Japan
Hybrid

Who this role is best for

Best suited to technically proficient professionals with enterprise AI/ML experience working in Japan, who thrive in customer-facing roles requiring collaboration with sales and product teams.

Best fit for

  • Candidates with 5+ years of enterprise technical experience in AI/ML and strong communication skills for non-technical stakeholders
    — “Strong customer-facing skills with 5+ years of relevant technical, enterprise experience”
  • Individuals who have worked in field engineering or solutions architecture roles, especially with hardware/software co-optimization
    — “Experience with GPU, CUDA or AI accelerators. Familiarity with hardware/software co-optimization is often critical”
  • Professionals fluent in Japanese and capable of bridging technical and business domains in client interactions
    — “Must be fluent in Japanese and business level English”

Things to consider

  • Employment may be contingent on U.S. export compliance, which may affect eligibility based on nationality or residency
    — “offer may be contingent upon your citizenship/permanent residency status”
  • The role may not align with expectations of a fully remote or flexible work arrangement
    — “This role is hybrid, based out of Tokyo, Japan.”

How to stand out

  • Highlight experience in translating technical AI concepts into business value for enterprise clients
    — “you know how to break things down and bring them to life”
  • Emphasize hands-on work with AI frameworks like PyTorch or TensorFlow and edge computing optimization
    — “Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP), computer vision, PyTorch or TensorFlow.”
  • Showcase ability to collaborate with cross-functional teams, especially sales and product development
    — “Work closely with sales operations and product teams to provide feedback from customers”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • drive adoption of AI products
  • provide feedback for product enhancements
Typical background
field engineersolutions architect

Skills & requirements

Required

Ai/mlCustomer-facing SkillsTechnical ExpertiseCommunication SkillsAI Technologies And Frameworks

Preferred

Hardware/software Co-optimizationServer Architecture

Stack & domain

AIMLField EngineeringSolutions ArchitectureTechnical Account ManagementMachine LearningDeep LearningNatural Language Processing (nlp)Computer VisionPyTorchTensorFlowGPUCUDAAI AcceleratorsHardware/software Co-optimizationData CenterServer ArchitectureDeploymentThermal/powerInfrastructure ManagementCommunicationProblem-solvingTeamworkProject ManagementStrategic ThinkingDecision-making

About the role

Original posting from Tenstorrent via Greenhouse

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make.  You will 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. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders.

This role is hybrid, based out of Tokyo, Japan.  

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.

This role is hybrid, based out of Tokyo, Japan.

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.

Who You Are

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.

Engage directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.

Work closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.

What We Need

Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager). Must be fluent in Japanese and business level English

Your field insight will help shape our roadmap, our features, and the way we show up for developers.

Proven expertise in AI technologies and frameworks, including 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 is often critical for efficient inference at the edge.

Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management

What You Will Learn

Explore how to push the boundaries of AI performance on custom silicon and help developers do the same.

Experience what it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between.

Master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.

Understand why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Source: Tenstorrent careers (Greenhouse)

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