We are seeking a dynamic and experienced Field Application Engineer / Application Engineer with a strong focus on AI/ML software to join our team. In this role, you will serve as the primary technical contact for our customers, working closely with application developers and serving as a trusted advisor to implement solutions using our products. Additionally, you will collaborate with internal teams including sales, product development, and business development to ensure customer success and contribute to the advancement of our AI software solutions.

This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON.

Responsibilities:

• Serve as the primary technical liaison between our company and customers, providing expert guidance and support in implementing AI/ML software solutions.
• Collaborate with customers to understand their specific requirements and develop tailored solutions that address their unique needs.
• Design and architect solutions for a variety of AI use cases, with a focus on Generative AI and LLM applications, while also possessing experience in vision and other language models.
• Deploy applications on cloud platforms, ensuring scalability, reliability, and performance of AI solutions in cloud environments.
• Collaborate with cross-functional teams including product development, engineering, and research to drive innovation and enhance our AI/ML software offerings.
• Deliver engaging presentations and demonstrations to showcase the capabilities of our AI/ML software solutions to both technical and non-technical audiences.
• Stay updated on the latest trends and advancements in AI/ML technology, incorporating new knowledge into solution design and customer engagements.

Experience & Qualifications:

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.
• Proven experience as a Field Application Engineer, Application Engineer, Sales Engineer, or Solutions Architect, with a focus on AI/ML software.
• Strong proficiency in programming languages, particularly Python, with knowledge of C++ is considered advantageous.
• Deep understanding of AI/ML frameworks such as PyTorch and TensorFlow, with expertise in Generative AI and LLM applications preferred.
• Experience in deploying, training, and fine-tuning AI models, along with designing scalable solutions to meet customer requirements.
• Familiarity with cloud platforms and experience deploying applications in cloud environments.
• Excellent communication, presentation, and interpersonal skills, with the ability to effectively communicate complex technical concepts to diverse audiences.
• Passion for innovation and a proactive attitude towards learning and adopting new technologies.

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.

Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have licensing conditions set by the U.S. government.

Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.