Senior Robotics SW Engineer , Velocity

Requirements

• 5+ years of non-internship professional software development experience
• 5+ years of programming with at least one software programming language experience
• 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience as a mentor, tech lead or leading an engineering team
• 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Experience with perception, localization, sensor-fusion, computer-vision, or machine-learning for robotics.
• Expertise in modern C++ and experience with python.
• Experience with Robot Operating System (ROS) or similar robotic frameworks.
• Experience with AWS services and technologies
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
• USA, MA, Westboro - 168,100.00 - 227,400.00 USD annually

Additional Information

RDPI's Velocity software team develops the autonomy software that powers Velocity. We are looking for a Senior Software Engineer to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our perception, motion planning and control software. In addition, you will collaborate with engineers cross the team to develop and enhance our robotic capabilities. Key job responsibilities Specific areas of focus may include (but are not limited too): - Evaluating and integrating new sensors into the autonomy software stack. - Developing sensor fusion techniques for obstacle detection and localization. - Developing machine-learning capabilities and infrastructure for robotic perception and localization. - Optimizing runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities. - Building frameworks for large-scale replay and analysis of events in pre-recorded sensor data. - Building frameworks to monitor and manage resource utilization on embedded compute platform. - Building visualization tools for analyzing and debugging robot behavior.

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