Deep Learning Embedded Software Graduate Engineer

Position Overview

We are looking for a Junior Deep Learning Embedded Software Engineer to join our team. This role is perfect for recent graduates who are enthusiastic about deep learning, embedded systems, and software engineering.

Key Responsibilities

Assist in developing and integrating kernel libraries for TinyML inference frameworks.
Help port code across different platforms and toolchains.
Work with the team to troubleshoot and resolve software issues.
Contribute to improving our Model Zoo.
Support the development and maintenance of Python scripts for inference engines.
Collaborate with team members on various projects and tasks.

Requirements:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
Good knowledge of C/C++ programming.
Good Python programming skills.

Preferred Skills

Understanding of embedded systems and microcontroller basics.
Good problem-solving skills.
Experience with Git version control.
Ability to work well in a team and communicate effectively.
Basic knowledge of TinyML frameworks like TensorFlow Lite Micro (TFLM) and Apache TVM (MicroTVM).