Amazon internships across all seasons are full-time positions, and intern/co-ops should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
Please note that by applying to this role you would be considered for Software Development Engineer summer intern and spring/fall co-op roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.
Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
• Participate in code reviews and contribute to technical documentation.
• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
• Write clean, maintainable code following best practices and design patterns.
• Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
• Design, develop and test software components that interact with fulfillment center technologies, such as robotics, material handling equipment, computer vision, and cloud services.
A day in the life
As an SDE intern/co-op, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.
In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns/co-ops throughout your internship. No matter the location of your internship/co-op, we give you the tools to own your project and learn in a real-world setting.
About the team
Learn more about Robotics at Amazon:
https://amazon.jobs/en/teams/amazon-robotics
https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center
https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model
BASIC QUALIFICATIONS
- Are 18 years of age or older
- Are enrolled in a 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 structure implementation, basic algorithm development, and/or object-oriented design principles
PREFERRED QUALIFICATIONS
- Experience from previous technical internship(s) or demonstrated project experience
- Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems
- Strong problem-solving and analytical skills; Excellent written and verbal communication skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)
- Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related
The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
USA, CA, Sunnyvale - 127,100.00 - 185,000.00 USD annually
USA, MA, North Reading - 110,500.00 - 160,000.00 USD annually
USA, MA, Westboro - 110,500.00 - 160,000.00 USD annually
USA, TN, Nashville - 105,000.00 - 156,000.00 USD annually
USA, TX, Austin - 110,500.00 - 160,000.00 USD annually
USA, VA, Arlington - 110,500.00 - 160,000.00 USD annually
USA, WA, Bellevue - 110,500.00 - 160,000.00 USD annually
USA, WA, Seattle - 110,500.00 - 160,000.00 USD annually
