Senior Robotics Software Eng, Robotics AI

Published date Posted on Indeed on Nov 11, 2021 (26 d ago)
  • 2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
  • 3+ years of programming experience with at least one modern language such as Java, C++, or C# including object-oriented design
  • 4+ years of professional software development experience
  • 2+ years of experience as a mentor, tech lead OR leading an engineering team
  • Advanced degree (MS or PhD) in Computer Science, Computer Engineering, or equivalent work experience.
  • Experience running code on physical systems (e.g. robots, machinery, automotive, aerospace, etc)
  • Experience building pieces of large scale production software (e.g. service oriented architecture across many teams, continuous deployment, monitoring and alarming)
  • Technical leadership experience (e.g. owning architecture level decisions).
Job summary
Are you excited about building high-performance robotic systems that can perceive, learn, and act intelligently? The Robotics AI team is creating first of a kind robotic workcells.

We are seeking software engineers to help with our initial robotic prototypes and workcell deployments. This includes building computer vision systems, ML and AI models, robotic control and motion planning, and process management. It also includes end-to-end ownership of decision explanation, fault detection, monitoring, A/B testing, large scale model training, simulation, hardware integration, and more. This work spans prototypes in the lab as well as wide-deployment systems. As a software engineer, you will help plan the roadmap, implement, test, and monitor services in our robotic fleet. You will also have the opportunity to learn and be a part of an interdisciplinary team building all parts of the robot hardware and software stack.

  • Robotics experience
  • Experience with one of the following:
  • Production-level machine learning
  • Computer vision (e.g. a variety of neural network architectures using TensorFlow or MxNet, fusion with other sensors)
  • Hardware integration (e.g. hardware release cycles, heterogeneous hardware fleets)
  • Building and testing real-time or safety-critical systems
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

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