Field Application Engineer - Customer Engineering

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’ll be the technical glue between our bleeding-edge software stack and the developers pushing it to its limits.

This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON. Remote candidates will be considered on a case by case basis.

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.”

• PyTorch and TensorFlow aren’t just frameworks, they're your playground. You might even reach for C++ or CUDA when it’s time for more speed.

• 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.

What We Need:

• Solve real problems with real users. You’ll help developers make our platform sing and unlock the potential of their own products.

• Design smart solutions that aren’t just powerful, but practical.

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

• Tell great stories. Through code, demos, and conversation, you’ll help people see what’s possible and how to get there.

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.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

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.