Software Developer for Edge-Deployed Systems

3 weeks ago


Seattle, Washington, United States Metropolis Full time
About the Role
We're looking for a seasoned Senior Machine Learning Software Engineer to accelerate the development of our computer vision and machine learning software. As part of the Metropolis Machine Learning Team, you'll be responsible for designing, developing, improving, and optimizing computer vision, machine learning, and application software on edge devices using C++. This is an exciting opportunity for a motivated and talented individual to join our innovative company and contribute to shaping the future of transportation.

Responsibilities include participating in all phases of embedded software development, from concept and design to deployment and maintenance, identifying top-level software requirements, establishing development best practices, delivering high-quality C++ code in a real-time embedded environment, performing optimization on Machine Learning models targeting different hardware accelerators, implementing, managing, and supporting over-the-air software updates to edge systems, and communicating ideas and results effectively to a wide range of technical and non-technical audiences.

This role requires a strong background in C++ and OpenCV, experience with computer vision and ML on edge/embedded systems, demonstrated experience taking complex software systems from concept to production, and excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner.

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