Software Integrator Intern - Prototyping & Sensors

Aumovio SE; Singapore; On-site; SGD 20,000 - 27,000; Full time

Benefits offered by this job

Referral bonus: No

Job summary

AUMOVIO SE is seeking a Software Integrator Intern to contribute to the R&D innovation team. You will collaborate on software applications, APIs, and rapid prototypes, deploying solutions in our demo vehicle environment and performing data-driven diagnostics.

Ideal candidates will have strong Python and C/C++ skills, exposure to sensors and middleware, and familiarity with TensorFlow or PyTorch for potential deep learning work.

Qualifications

• Strong coding skills in Python and C/C++.
• Experience with sensors such as Camera, Radar, RGBD, UWB.
• Experience with middleware DDS, MQTT, ROS 1/ROS 2.
• Experience with Git, Docker, Linux and Windows.
• Knowledge of object detection, tracking and identification is a plus.
• Knowledge of deep learning tools (TensorFlow, PyTorch) is a plus.
• Knowledge of professional software engineering including coding standards, code reviews, source control management, build processes, testing, and operations is a plus.

Responsibilities

• Develop software applications and necessary APIs with the R&D team.
• Work on some rapid prototype developments when required.
• Involve in implement, test and deploy prototype to ready solutions.
• Involve in identifying possible solutions and diagnostics for troubleshooting.
• Conduct site survey, collect data and perform test procedures.
• Integrate and/or implement solution as a demonstrator or solution deployed in our demo vehicle.

Skills

Python

C/C++

Sensor tech

DDS

MQTT

ROS 1/ROS 2

Git

Docker

Linux/Windows

Object detection

Deep learning

Software engineering practices

Tools

TensorFlow

PyTorch

Job description

AUMOVIO SE is seeking a Software Integrator Intern to contribute to the R&D innovation team. You will collaborate on software applications, APIs, and rapid prototypes, deploying solutions in our demo vehicle environment and performing data-driven diagnostics.

Ideal candidates will have strong Python and C/C++ skills, exposure to sensors and middleware, and familiarity with TensorFlow or PyTorch for potential deep learning work.