Based in Londrina, Paraná - Brazil

Platform Science is hiring a Specialist Embedded Software Engineer to be a core technical leader on our Video Platform Team. In this role, you will be essential in defining the architecture, strategy, and technical roadmap for our next-generation video solutions. You'll work at the meeting point of complex technical challenges and business goals, playing a key role in our mission to make transportation smart.

This is a high-impact position for an expert who not only writes exceptional code but also mentors and elevates the entire team. You are a recognized leader in the embedded systems space and comfortable making critical decisions even with limited information.

Key Responsibilities:

• Define and drive the technical strategy and architecture for our embedded video platform, ensuring scalability, performance, and long-term maintainability
• Serve as the technical reference for complex embedded software challenges, providing deep expertise and guidance to the team
• Lead the end-to-end development of robust embedded solutions, from high-level design to low-level implementation for global vehicle markets
• Conduct and lead comprehensive in-vehicle testing, collaborating with cross-functional teams to validate system performance
• Act as a key technical point of contact for global hardware suppliers, providing expertise and support to troubleshoot and enhance product functionalities
• Collaborate closely with Platform Science teams across regions, ensuring seamless integration and alignment on project goals

Required Skills and Qualifications:

• Demonstrated ownership of the entire software lifecycle, from initial concept to mass-market launch
• Extensive experience in software development using C, C++, Python, and Bash, with proven ability to architect and launch complex systems
• Deep expertise in embedded Linux and practical knowledge of hardware interfaces like CAN, GPS, WiFi, and Bluetooth
• Hands-on experience with MQTT, SQL, and CAN Bus protocols (J1939 and OBD-II)
• Proven expertise in applying computer vision and machine learning to solve complex, real-world problems
• Proficiency in video processing and real-time streaming
• A solid understanding of system-level optimization, unit testing, and continuous integration.
• Practical knowledge of virtualization and containerization
• Proficiency with version control systems (Git) and agile methodologies (Scrum, Kanban)
• Professional fluency in English with excellent communication skills, enabling effective collaboration with both technical and non-technical teams

Will be considered a plus:

• Background in cloud platforms (AWS, Azure) for device integration
• Proven expertise with the Android Open Source Project (AOSP) or Android-based embedded systems.
• Experience with Kotlin, Java, and Go languages.
• Prior work in the transportation or automotive industry
• Hands-on experience with hardware design and schematics