Embedded Systems Software Developer
Workplace: Göteborg, Sverige
Expires: November 30, 2025
Develop software that is used in millions of products worldwide and work with cutting-edge embedded systems technologies at Knowit Swedspot. Collaborate with skilled colleagues to create innovative software solutions for vehicles, IoT, and smart systems.
Main requirements:
- Significant experience in software development, preferably within embedded systems.
- Higher education, preferably a Master of Science in Engineering or equivalent.
- Willingness to learn and to teach others.
Responsibilities:
- Develop next-generation infotainment systems, digital instrument clusters, and communication solutions for vehicles.
- Work both on customer projects and in-house product development.
- Collaborate closely with leading manufacturers and customers to ensure practical, high-quality solutions.
- Contribute to building software including Knowit's proprietary Bluetooth stack (blueGO), cloud platform (Ezentric), and vehicle communication solutions.
Required hard skills:
- Experience in embedded software development.
- Knowledge of Bluetooth stack and IoT software solutions.
- Understanding of automotive infotainment and communication systems.
Recommended hard skills:
- Experience with cloud platforms.
- Experience in automotive software and vehicle communication protocols.
Soft skills:
- Willingness to learn and teach others.
- Good collaboration and communication skills.
Natural languages:
- Swedish (Proficient)
- English (Proficient)
Cultural skills:
- Team collaboration
- Innovation-oriented mindset
- Customer-focused approach
Apply for this job
You might also like:
- Functional Specialist - Supply Chain Development
- Content Operations Coordinator
- Software Engineer - AI Team
- Production Technician
- Client Technician (Windows)
- System Administrator for the Information and System Management Unit
- Field Service Technician in IT
- Industrial IT System Developer
- System Engineer / Requirements Coordinator
- System Developer in Computer Vision