Robotics – Software Development Engineer Intern – 2026 – Amazon – Toronto, ON
Location: Toronto, ON | Company: Amazon
Amazon is hiring for Robotics – Software Development Engineer Intern (SDE-I) roles for 2026 in Toronto, ON. This internship is built for students who want to solve real customer problems through innovative technology, work on scalable services, and see their code directly impact customers worldwide.
As an SDE intern/co-op, you’ll be expected to work in office, Monday to Friday, up to 40 hours per week (typically between 8am–5pm). Amazon emphasizes an ownership mindset—you’ll own the lifecycle of your code from design to deployment and operations—supported by mentorship, learning, and a collaborative team environment.
About the role: Robotics SDE Intern (2026)
In this Software Development Engineer Intern role, you’ll collaborate with cross-disciplinary teams to design, build, and operate products and services that support Amazon Robotics and fulfillment technologies. You’ll work in an agile environment where development cycles move quickly, contribute to technical discussions, and help drive solutions forward through solid engineering fundamentals and clear communication.
You’ll design and develop scalable solutions using cloud-native architectures and microservices in a distributed computing environment, participate in code reviews and documentation, and help build resilient systems that are scalable, fault-tolerant, and cost-effective. The work can include software that interacts with robotics, material handling equipment, computer vision, and cloud services, with operational excellence through monitoring, troubleshooting, and resolving issues.
Benefits and Salary
Pay is not listed in the posting. Amazon notes that internships across all seasons are full-time positions, and interns/co-ops will be matched to a manager and mentor, with opportunities to expand your network and participate in intern activities throughout the internship.
Job Details
📌 Job Type: Internship / Co-op — Software Development Engineer Intern (Robotics)
📍 Location: Toronto, ON, Canada
🏢 Company: Amazon (Amazon Development Centre Canada ULC – K03)
🗓️ Year: 2026 (Summer intern + Spring/Fall co-op consideration)
🕒 Work Mode: In-office, Mon–Fri up to 40 hours/week (typically 8am–5pm)
🆔 Job ID: 3136815
Requirements / Skills
- Must be 18 years of age or older
- Bachelor’s degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript
- Experience with data structures, basic algorithms, and/or object-oriented design principles
Preferred
- Previous technical internship(s) or demonstrated project experience
- Experience with cloud platforms (preferably AWS), database systems (SQL and NoSQL), version control systems, and/or contributing to open-source projects
- Strong problem-solving and analytical skills; excellent written and verbal communication
- Demonstrated ability to learn and adapt to new technologies quickly; basic understanding of the SDLC
- Exposure to areas like Robotics, Computer Vision, Machine Learning, Perception, Motion Planning, Autonomous Navigation, or related domains
How to Apply
If you’re excited to build scalable systems and software that interacts with robotics and fulfillment technologies, apply through Amazon’s official posting. On your resume, emphasize projects where you designed and built software end-to-end, used strong data structures/algorithms, and collaborated through code reviews, version control, and clear documentation—especially in cloud or distributed systems contexts.
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Job Summary & Tips for Applying
To stand out for this Robotics SDE Intern role, make your application feel “Amazon-native”: show ownership, solid engineering fundamentals, and project impact. Pick one or two projects and describe what you built, why it mattered, and how you measured success—especially if you worked on scalable services, distributed systems, or real users.
Because Amazon highlights cloud-native architectures, microservices, and operational excellence, include evidence you can write maintainable code, follow best practices, and work through testing, deployment, and troubleshooting. If you’ve used AWS, CI/CD, monitoring, or handled production-style debugging (even in a school or club project), call it out clearly.
For robotics-adjacent credibility, you don’t need to overclaim—just connect your experience to the domains mentioned: robotics, computer vision, ML, perception, motion planning, or automation. Even a focused capstone, lab project, or internship where you worked with sensors, optimizations, or systems integration can map well if you explain your role and the engineering trade-offs you navigated.
