Drone Firmware Software Dev Engineer

Who you are

• The ideal candidate is passionate about internet connected devices, has a strong understanding of embedded and systems software, and understands how your code runs on hardware. You must be responsive, flexible, and able to succeed within an open and collaborative peer environment
• Experience (non-internship) in professional software development
• Experience in professional, non-internship software development
• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience in embedded development in C/C++
• Knowledge of ARM CPUs
• Bachelor's degree in computer science or equivalent
• Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience in computer architecture, or experience writing low level drivers

What the job involves

• Ring is working on innovative robotics products; therefore, we are looking for skilled individuals with a strong bias for action and deep technical knowledge to join our team in Cambridge
• Our team is developing a new class of product and building the software framework for high performance embedded robotics systems. As a Software Development Engineer, you will be a core member of the development team
• Delivering high-quality C/C++ code for Ring Devices at Amazon
• Specifying, designing, and implementing functionality and behaviors of embedded subsystems
• Collaborate effectively with applied science, software, and electronics engineering teams
• Implement state of the art control algorithms for autonomous systems
• We are the Robotics Platform Engineering team. We are making autonomous and flying robots! We own and build the foundational software layers that enable product functionality and applied science to achieve features that surprise and delight customers
• We care about speed and reliability. We aim to squeeze every drop of compute performance from our device hardware, and we use our knowledge of embedded systems, compute architecture and control theory to make that happen