Deep Learning Embedded Software Graduate Engineer

Description

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).