AI Applications Engineer

At Quadric, an AI Applications Engineer serves as a crucial liaison between development engineering and end-users. This role encompasses leading technical customer support initiatives, developing application materials, crafting reference implementations, and delivering advanced technical training. The engineer works to ensure our customers can effectively leverage Quadric's groundbreaking GPNPU technology.

To qualify for the AI Applications Engineer position at Quadric, candidates should possess a Bachelor’s or Master's degree in Computer Science or Electronics Engineering. Additionally, a minimum of 3 years of experience supporting SDKs, proficiency in Python, and familiarity with machine learning frameworks such as PyTorch or TensorFlow are essential. Experience in Docker, Linux, and advanced debugging is also highly valued.

An AI Applications Engineer at Quadric should have strong coding capabilities, expertise in system architecture and algorithm optimization, and be proficient in debugging complex system-level issues. Familiarity with Docker containers, Linux operating systems, and neural network frameworks is critical for effectively developing and implementing customer solutions.

Yes, the AI Applications Engineer position at Quadric may require occasional travel to customer sites. This travel is essential for providing hands-on technical support, conducting training sessions, and building strong relationships with our global customer base.

At Quadric, career development is a priority. The AI Applications Engineer will have access to training and development opportunities that foster professional growth. You’ll also be able to influence product roadmaps based on customer needs, further enhancing your role within the organization.

When answering this question, focus on specific projects where you successfully implemented these frameworks. Be sure to highlight what models you built, how you optimized them, and any challenges you overcame. Discuss the impact of your efforts, demonstrating not just technical skill but also your problem-solving approach.

To answer this question, provide a detailed explanation of optimization strategies such as profiling code, reducing computational complexity, or leveraging hardware capabilities. Mention specific techniques or tools you’ve used to improve performance, illustrating your hands-on experience with algorithm optimization.

Highlight your communication skills by outlining your approach. Discuss using simple analogies, breaking down concepts into relatable ideas, and ensuring understanding through questions. Provide an example where you successfully conveyed complex information to a non-technical audience, showcasing your ability to bridge technical gaps.

Share a concrete example of a technical challenge, outlining the problem, the steps you took to diagnose it, and the solution you implemented. Discuss the outcomes and what you learned from the experience, showcasing your analytical thinking and resilience.

Discuss the tools and methodologies you’ve employed for debugging, such as gdb for Linux systems or specific logging frameworks. Explain how you approach debugging systematically, focusing on identifying root causes, testing hypotheses, and validating solutions. Providing examples will enhance your answer.

Outline your strategies for staying informed, such as following industry blogs, attending conferences, taking online courses, or engaging with professional communities. Sharing specific resources or events can demonstrate your commitment to continuous learning in the AI field.

Discuss your approach to creating clear, concise, and comprehensive documentation. Provide examples of past documentation you’ve created, emphasizing the importance of making complex ideas easily understandable for users. Highlight feedback you’ve received that illustrates your documentation’s effectiveness.

Highlight your active listening skills and how you prioritize addressing customer concerns. Explain how you follow up with customers after issues are resolved to ensure satisfaction. Providing a specific example of successfully resolving a customer issue can illustrate your customer service approach.

Discuss your hands-on experience with Docker, focusing on how you’ve used it to create, deploy, and manage applications. Provide examples of projects where containerization facilitated smoother development or deployment processes, showcasing your practical knowledge.

Discuss your methods for ensuring effective collaboration within interdisciplinary teams, emphasizing communication and shared goals. Share an example of a successful project that involved collaboration across different disciplines, showcasing your ability to work harmoniously with diverse skill sets.