Are you excited about building highperformance robotic systems that can perceive learn and act intelligently alongside humans The Amazon Robotics team is creating new products and technologies that make this possible at Amazon scale.
The Amazon Robotics software team is seeking broad curious engineers to join our diverse fullstack team. In addition to holistically designing building and delivering endtoend robotic systems our team is responsible for the core infrastructure and tools that serve as the backbone of our robotic applications enabling roboticists machine learning scientists and software engineers to collaborate and deploy systems in the lab and in the field. Our work spans realtime software machine learning engineering big data simulation and more.
Key job responsibilities
Architect design and implement robotic software applications infrastructure and tools.
Work with stakeholders across hardware science and operations teams to iterate on systems design and implementation.
Create robust highquality welltested software to interface with and control sensors actuators and other hardware.
Collaborate with machine learning and robotic controls experts to implement and deploy algorithms such as machine learning models.
Profile tune and optimize system performance.
Create reusable software and systems to accelerate robotics development.
Maintain high standards by participating in reviews designing for fault tolerance and operational excellence and creating mechanisms for continuous improvement.
Mentor junior team members.
Bachelors Degree or greater in Computer Science/Engineering Statistics Mathematics or equivalent.
Experience with contributing to the architecture and design (architecture design patterns reliability and scaling) of new and current systems
Experience with at least one modern language such as Kotlin Python or C including objectoriented design
Experience with professional software development experience
Experience as a mentor tech lead OR leading an engineering team
Proficiency with professional software engineering practices & standard practices for the full software life cycle including coding standards code reviews source control management build processes testing and operations.
Masters or PhD in Computer Science/Engineering Statistics Mathematics or equivalent.
Experience in one or more relevant technical areas: robotics computer vision machine learning sensors realtime systems embedded systems distributed systems simulation highperformance scientific computing or building infrastructure for engineering/science users.
Expertise building and testing realtime or safetycritical systems such as aerospace automotive or medical devices.
Experience with interdisciplinary developments that involve hardware software and algorithm codesign.
Experience supporting largescale infrastructure and tool development for scientific/engineering users.
Solid fundamentals in operating systems embedded systems or systems programming.
Demonstrable experience in building programming and integrating software and hardware for robotic systems.
Independent and ability to work with minimal direction.
Demonstrated experience incubating and productionizing new technology working closely with research scientists and technical teams from idea generation through implementation
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