Senior/Staff Software Engineer, Edge AI - Toolchain

The Senior/Staff Software Engineer position at OVT demands strong Python class-based product development skills along with a solid understanding of compiler technologies, code generation, and program analysis. Candidates should be experienced in compiler-related areas and have excellent collaboration and communication skills.

In the role of Senior/Staff Software Engineer, Edge AI - Toolchain at OVT, you will work on architecting and enhancing Neural Network solutions for our advanced Video Processor products. You will also have the chance to specify and develop new toolchain features for NPUs, making a significant impact on our AI model optimization.

While not strictly mandatory, having a background in deep learning frameworks, such as PyTorch and experience with deep learning compilers like TVM, is a strong plus for the Senior/Staff Software Engineer role at OVT. It will certainly help in understanding the intricacies of model optimization.

Candidates applying for the Senior/Staff Software Engineer, Edge AI - Toolchain position at OVT should possess a Ph.D., MS, or BS in Computer Science or Computer Engineering, along with at least five years of commercial development experience, particularly in compiler-related areas.

At OVT, you will be part of a smaller, dynamic team that values collaboration and innovation. The team environment for the Senior/Staff Software Engineer, Edge AI - Toolchain role fosters creativity and encourages you to contribute your ideas for toolchain development and optimization.

OVT emphasizes the importance of automation to improve productivity across all areas. As a Senior/Staff Software Engineer, Edge AI - Toolchain, you will be encouraged to find new ways to introduce automation into toolchain processes, allowing for better efficiency and faster delivery.

In the Senior/Staff Software Engineer, Edge AI - Toolchain role at OVT, you will work with tools like Confluence, Git, JIRA, and possibly Eclipse for toolchain frontend development. Familiarity with these tools is key to effective project management and collaboration.

When answering this question, focus on specific projects where you used Python, emphasizing class-based design, coding standards, and any frameworks or libraries that enhanced your development process. Highlight how Python contributed to the overall success of your projects.

Discuss your approach to toolchain optimization, emphasizing the importance of understanding the entire NPU architecture, model compatibility, and examples where you successfully implemented optimizations. Provide instances where your work led to measurable improvements.

In your response, detail your communication strategies, the tools you utilize for collaboration, and how you handle conflicts or differing opinions. Emphasize your adaptability and openness to feedback, showcasing your role in fostering a collaborative team environment.

Share specific challenges you encountered in compiler development, explain your problem-solving process, and the technical solutions you implemented. Highlight your adaptability and lessons learned to show your growth through experience.

Provide examples of tools and techniques you have used in debugging and performance analysis, including any specific methodologies. Highlight your understanding of how to interpret performance data and make necessary adjustments to enhance efficiency.

When discussing a relevant project, outline the project goals, your specific contributions, outcomes, and how you collaborated with others on the team. Focus on the techniques and tools you used to achieve success in optimizing neural networks.

Discuss your methods for keeping up to date with emerging technologies in AI, such as taking courses, attending conferences, or self-directed learning. Relate these activities to your role and how they can contribute to your performance as a Senior/Staff Software Engineer.

Discuss the significant benefits of automation in improving productivity, reducing human error, and increasing consistency in toolchain output. Provide examples from your work where automation achieved clear advantages.

Illustrate a situation where you received feedback from stakeholders that required you to alter your design approach. Focus on your ability to remain flexible, the changes you made, and how it contributed to the project's success.

Share your insights on current developments in Edge AI technology and explore potential future trends that could impact the field. Demonstrating knowledge of industry advancements shows your commitment to staying informed.