Edge AI Software Engineer Intern

VisLab (an Ambarella Inc. company); Kentucky; On-site; USD 28,000 - 41,000; Full time

Job summary

VisLab, an Ambarella Inc. company in Kentucky, seeks a Software Engineer Intern to develop software and tools for training, optimizing, and deploying AI models on Ambarella AI SoCs.

You will work with experienced software and hardware engineers to understand AI workloads, improve performance, and enable efficient execution across heterogeneous computing platforms. This hands-on role spans AI workloads, system software, performance optimization, and hardware interactions, offering a collaborative

Qualifications

• Pursuing or completed a Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
• Strong programming skills in C/C++ and Python.
• Basic understanding of computer architecture, microprocessors, and memory systems.
• Strong problem-solving and analytical skills.
• Effective communication and ability to work well in a collaborative team environment.
• Interest in understanding how software interacts with and leverages hardware.

Responsibilities

• Develop software and tools for training, optimizing, and deploying AI models on Ambarella AI SoCs.
• Analyze AI workloads and optimize performance across heterogeneous compute engines and memory hierarchies.
• Understand research papers and implement state of art techniques to solve technical challenges.
• Collaborate with cross-functional teams to deliver optimized solutions.

Skills

C/C++

Python

Computer architecture

Problem solving

Communication

Team collaboration

Education

Bachelor's or Master's in Computer Science, Computer Engineering, Electrical Engineering, or related field

Tools

PyTorch

TensorFlow

Job description

VisLab, an Ambarella Inc. company in Kentucky, seeks a Software Engineer Intern to develop software and tools for training, optimizing, and deploying AI models on Ambarella AI SoCs.

You will work with experienced software and hardware engineers to understand AI workloads, improve performance, and enable efficient execution across heterogeneous computing platforms. This hands-on role spans AI workloads, system software, performance optimization, and hardware interactions, offering a collaborative