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Amazon Robotics is seeking a talented Engineer to develop advanced vision capabilities for its global fleet of robots. As an SW Engineer II, you will work with diverse teams to prototype and validate vision features, ensuring innovation in robotic perception and autonomy. This role offers a chance to influence long-term strategies while maintaining high operational standards and mentoring fellow engineers.
Amazon Robotics is seeking a talented and motivated Engineer to architect, design, and develop state-of-the-art vision capabilities for our global fleet of robots. You will join a passionate, diverse team focused on delivering scalable, robust, high-performance sensing systems that power next-generation automation.
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In this role, you’ll collaborate with research scientists, applied scientists, data scientists, and hardware engineers to prototype and validate vision features—both in simulation and on live robotic platforms—ensuring Amazon continues to innovate in robotic perception and autonomy.
Architect, design, and implement vision systems for multiple robotic platforms, influencing the long-term strategy and roadmap. You’ll work cross-functionally with science and operations teams to iterate rapidly on prototypes and incorporate feedback from real-world deployments.
Maintain high standards by participating in design reviews, building for fault tolerance and operational excellence, and creating continuous improvement mechanisms. Mentor fellow engineers and help drive our collective success in delivering reliable vision sensing.
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Amazon offers a comprehensive benefits package for full-time employees, including:
Job Type: Full-time, Permanent
Location: Toronto, ON, Canada
Excited to drive the future of robotic vision at AWS? Click below to begin your application:
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AI-generated summary and tips to help you highlight your strengths effectively.
As an SW Engineer II on the Sensing Application Team, you’ll spearhead the development of cutting-edge robotic vision features that enable billions of pick-and-place operations globally. Highlight projects where you overcame real-world constraints—such as latency, sensor noise, or hardware variability—by designing fault-tolerant, high-throughput systems.
Showcase instances where you co-created prototypes with cross-disciplinary teams, rapidly iterated on simulation feedback, and validated solutions on live robots. Emphasize your ability to mentor peers, influence technical roadmaps, and uphold operational excellence in production environments.
When applying, underline your collaboration skills with research scientists and hardware engineers, and your passion for continuous improvement. Demonstrate how your vision systems delivered measurable impact—reduced error rates, increased throughput, or improved reliability—in past roles.
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