Software Architecture Engineer Intern

Ambarella; Kentucky; On-site; USD 25,000 - 30,000; Part time

Job summary

Ambarella is offering internship opportunities for self-motivated students near completing their master’s degree in the US. Interns work on AI vision processors and explore hardware/software trade-offs, memory bandwidth, and pipeline latency.

You will develop software models, visualization tools, and support utilities to maximize hardware efficiency. Proficiency in C++, C, Python, Perl, and assembly is expected, with exposure to neural network frameworks like Caffe or TensorFlow helping.

Qualifications

• Master's student nearing completion in CS or EE.
• Experience with modern programming languages and computer architecture.

Responsibilities

• Develop software models of hardware co-processors and visualize architecture behavior.
• Produce support tools to enable efficient use of hardware co-processors.
• Deliver presentations at program end describing findings.

Skills

C++

C

Python

Perl

Assembly

Education

Master's student in CS/EE

Tools

Caffe

TensorFlow

Job description

AI Vision Processors For Edge Applications

Our solutions make cameras smarter by extracting valuable data from high-resolution video streams.

Job Description

Ambarella has some exciting internship opportunities for self-motivated and creative students near completing of their master’s degree. We are looking for talented software programmers who possess a strong interest in computer architecture, VLSI design, image processing, video compression, and computer vision.

Architecture interns study hardware and software trade-offs present in the latest version of our chips and explore uses of both to solve real-world problems. Interns may develop software models of important behaviors in hardware co-processors such as memory bandwidth and pipeline latency or develop visualization tools to illustrate architecture behavior. Interns produce support tools to enable software to make efficient use of hardware co-processors. A final presentation at the end of the internships describes their findings and allows other team members to use their work for ongoing projects.

The internship program requires experience in modern programming languages and computer architecture. C++, C, Python, Perl, and assembly are our popular tools. Exposure to common neural networks frameworks such as Caffe or TensorFlow helps. We expect that interns will be able to pick up missing skills quickly, deliver their assignments on time, and present their work at the end of the program.