← All jobs
Tenstorrent

Field Application Engineer, South East Asia

Singapore
Level
Mid
Work type
Remote · Singapore only
Visa
Not offered

Not stated in the posting: salary.

Open. First seen 20 September 2026.

About the role

Tenstorrent's standard text

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 are looking for a Field Application Engineer to serve as the technical bridge between Tenstorrent and customers across Southeast Asia. Based in Singapore, you will work closely with customers, partners, sales, and global engineering teams to understand AI and machine learning workloads, guide technical evaluations and deployments, troubleshoot issues across hardware and software, and help customers realize the performance of Tenstorrent’s AI platforms. This is a highly visible, customer-facing role that combines hands-on technical problem solving, solution development, and regional relationship building, with regular travel throughout Southeast Asia.

This role is remote, based out of Singapore.

Tenstorrent's standard text

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

  • A customer-focused technical professional who can build trust with application developers, engineering teams, and business stakeholders.
  • Comfortable translating complex AI/ML hardware and software concepts into clear recommendations for both technical and non-technical audiences.
  • A proactive and self-directed problem solver who can coordinate internal teams, external service providers, and customer stakeholders across South East Asia.
  • Willing and able to travel to customer sites for installations, maintenance, troubleshooting, demonstrations, and proof-of-concept delivery.

What We Need

  • Experience as a Field Application Engineer, Application Engineer, Sales Engineer, Solutions Architect, or in a similar customer-facing technical role focused on AI/ML software and hardware.
  • Strong Python programming skills and deep familiarity with AI/ML frameworks such as PyTorch and TensorFlow; experience with Generative AI, LLMs, vision models, model deployment, training, or fine-tuning is preferred.
  • Experience designing scalable AI solutions and deploying applications in cloud environments, as well as physically installing, moving, and repairing servers, accelerator cards, and PCIe devices.
  • A Bachelor's degree or higher in Computer Science, Engineering, or a related field. Experience with C++, CUDA, parallel programming, or kernel development is a plus.
  • Languages proficiency: English, Mandarin, and Malay would be plus.

What You Will Learn

  • How to architect and deploy innovative AI/ML solutions across a wide range of customer use cases, including Generative AI and LLM applications.
  • How to lead the full customer engagement lifecycle, from pre-sales technical discovery and demonstrations through proof-of-concept delivery and production deployment.
  • How to collaborate with product development, engineering, research, sales, and business development teams to influence the evolution of AI software and hardware solutions.
  • How to help establish regional service capabilities and support the growth of a Tenstorrent office in South East Asia.

***For This role, Singapore Citizens and Singapore Permanent Residents (PRs) is required. and visa sponsorship and work pass support are not available.

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.

Tenstorrent's standard text

If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

What this role asks for

Particular to this role

CUDA · Generative AI · PyTorch · TensorFlow

Rare in Tenstorrent's other 99 open postings.

Standard for software engineering roles

Python

Common in software engineering postings at any company.

78% of this description is written for the role. The rest is Tenstorrent's standard text, folded away below.

Read against Tenstorrent's other open postings on this site.

The team: Experience: GTM HIRES STEADILY

This role is one of 4 open in Experience: GTM. 2 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

CUDA (3 of 4), LLM (3 of 4), Machine Learning (3 of 4), PyTorch (3 of 4), TensorFlow (3 of 4), C++ (2 of 4), Generative AI (2 of 4)

OTHER ROLES ON THIS TEAM

From the team and dates on Tenstorrent's own job board.

Similar jobs

Is this your posting and you want it taken down? Email info@careerholo.com.