About the job
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.
Responsibilities
Serve as the technical bridge between Tenstorrent and customers across Southeast Asia
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
Help customers realize the performance of Tenstorrent’s AI platforms
Lead the full customer engagement lifecycle, from pre-sales technical discovery and demonstrations through proof-of-concept delivery and production deployment
Travel to customer sites for installations, maintenance, troubleshooting, demonstrations, and proof-of-concept delivery
Qualifications
Minimum
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 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
Languages proficiency: English
Preferred
Experience with Generative AI, LLMs, vision models, model deployment, training, or fine-tuning is preferred
Experience with C++, CUDA, parallel programming, or kernel development is a plus
Languages proficiency: Mandarin, and Malay would be plus