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Platform Science

Specialist Embedded Software Engineer

๐Ÿ“ŒLondrina, Brazil ๐Ÿ‡ง๐Ÿ‡ท

โฑ๏ธŽ full-time

๐Ÿง™โ€โ™‚๏ธ senior

Based in Londrina, Paranรก - 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
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