Job Description
Full details about the role and requirements
Yukerja Summary
The Software Research Engineer role at PT Formulatrix Indonesia is curated from Glints (category Teknologi & IT). Note the work location (Sukajadi) before applying. Yukerja.com is not the employer — applications are handled on the official source site.
FORMULATRIX is expanding its Bandung team! As a Software Research Engineer you will develop mainly backend features on a web application (but should be comfortable working full-stack). In this particular role you’ll be implementing a smart camera monitoring system that integrates with multiple cameras and instruments. You will take full ownership of the project, following direction from the Product Manager.
What you will do
- Design and implement backend services and APIs for camera and instrument integration.
- Build the data pipeline, from camera/instrument input to storage, processing, and presentation.
- Write clean, maintainable, well-tested, and deployable code.
- Collaborate with the Product Manager and hardware team to translate requirements into technical designs.
What we look for
- Qualification: at least Bachelor’s degree (S1/D4) in Computer Science, Engineering, or equivalent practical experience.
- Previous experience with Python and C#.
- Familiar with (or ready to learn) the tech stack: Frigate, FFmpeg, WebRTC, ASP.NET Core.
- Good understanding of software architecture, OOP principles, and other software engineering practices (SDLC, version control).
- Previous experience working with camera, multimedia, or interactive systems.
Soft Skills:
- Highly motivated.
- Strong team player.
- Curiosity and willingness to learn new skills.
- Communicates well in English, written and verbal.
Nice to have
- PoE, networking, and network protocols.
- Video compression and streaming protocols (e.g. H.264/H.265, RTSP, GStreamer) and techniques (e.g. high resolution 4K streaming, substream).
- Video processing and handling high-bandwidth video data.
- Embedded software programming (e.g. Raspberry Pi).
- Linux kernel drivers or V4L2 (Video4Linux2).
- AI / machine learning (e.g. dataset preparation, training, testing).
- Computer vision libraries (e.g. OpenCV).