Staff Field Application Engineer

As a Staff Field Application Engineer at Tenstorrent, your main responsibilities include acting as a technical liaison between the company and customers, providing expert guidance in implementing AI/ML software solutions, and collaborating with customers to create tailored solutions. You will also design architectures for various AI use cases, deploy applications in cloud environments, and work alongside cross-functional teams to innovate and enhance our product offerings.

Candidates for the Staff Field Application Engineer role at Tenstorrent should have a Bachelor's degree or higher in Computer Science, Engineering, or related fields. Proven experience as a Field Application Engineer or similar role with a focus on AI/ML software is essential. Proficiency in Python and knowledge of AI frameworks such as PyTorch and TensorFlow are also crucial for this position.

Tenstorrent fosters a collaborative and innovative culture, welcoming diverse perspectives and ideas. As a Staff Field Application Engineer, you’ll find a nurturing environment where curiosity and problem-solving are encouraged, allowing you to grow alongside a passionate team dedicated to redefining AI technology. We believe in supporting our employees' continuous learning and development.

Customer success is at the forefront of the Staff Field Application Engineer’s role at Tenstorrent. You’ll engage closely with customers to understand their unique challenges and requirements, providing tailored solutions. By continually collaborating with internal teams and staying updated on AI advancements, you'll drive effective implementations that meet customer needs, demonstrating commitment to their success.

The Staff Field Application Engineer role at Tenstorrent operates on a hybrid working model, allowing for flexibility between remote and on-site work based out of Belgrade, Serbia. This setup supports a blend of collaboration and independent work, enabling you to engage effectively with your team and customers while maintaining a healthy work-life balance.

When answering this question, describe specific projects where you have successfully deployed AI/ML solutions. Highlight your role in the process, from design to implementation, discussing the challenges you overcame and how your solutions benefited the client. Be sure to mention any relevant frameworks, tools, and cloud platforms you utilized.

It's important to discuss your proficiency in programming languages relevant to the position. For this role, focus primarily on Python, explaining how you have used it in your projects, especially in relation to AI/ML. Additionally, mention any experience with C++ or other languages and how they complement your skill set.

Showcasing your dedication to continuous learning is vital. Discuss the resources you use, such as industry journals, online courses, webinars, and networking with peers. Mention any specific trends in AI/ML that excite you and how you plan to incorporate them into your work at Tenstorrent.

Employ the STAR method (Situation, Task, Action, Result) to structure your response. Choose a specific example that demonstrates your communication skills, detailing how you adapted your explanations to ensure understanding, and the positive reception of your message.

Explain your approach to understanding customer requirements through active listening and collaboration. Share how you gather feedback and insights and then utilize that information to customize solutions effectively. Highlight successful examples where your tailored strategy led to improved customer satisfaction.

Select a relevant challenge you faced and explain the context and your analytical process in addressing it. Show how your problem-solving skills led to a successful outcome and what you learned that you can apply to your work at Tenstorrent.

Discuss your time management techniques, such as setting realistic deadlines, creating task lists, and utilizing project management tools. Illustrate your prioritization process with an example where you successfully balanced competing deadlines.

Talk about the importance of active listening and empathy in addressing customer concerns. Describe how you would engage with the customer to understand their issues, collaborate on a resolution, and ensure that they feel supported throughout the process.

Share your personal passion for AI and ML, detailing specific applications or advancements that you find particularly thrilling. Discuss how your passion shapes your approach to your work and fuels your desire to innovate at Tenstorrent.

Emphasize the necessity of collaboration in integrating customer feedback, fostering innovation, and ensuring successful project outcomes. Cite examples where teamwork was key to resolving challenges or driving project success, underlining your commitment to collaboration at Tenstorrent.