דרושים Sde Intern Computer Science ב-אמזון ב-Canada, Toronto

As a Software Development Engineer (SDE) intern, you'll take everything you've learned in the classroom and apply it to projects that impact millions of customers worldwide. Instead of theoretical assignments, you'll build real features that customers use every day. You'll work alongside experienced engineers who are invested in your success, sharing their knowledge and helping you grow. The code you write won't be graded and forgotten - it will run in production, serving real customers across the globe. This is your chance to learn how to scale applications beyond anything you've tackled in your coursework.
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.
A day in the life
As an intern, 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.

- Are 18 years of age or older
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience with AI/ML technologies
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026

- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience in GenAI and Agent service development using LLM/VLM.
- Previous technical internship(s) or demonstrated project experience
- Strong problem-solving and analytical skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)

Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.A day in the lifeDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSWork/Life Balance
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent
- Experience writing software for DDR/HBM controllers and PHYs

Key job responsibilities

- PhD, or Master's degree and 3+ years of building machine learning models for business application experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- PhD in Electrical Engineering, Computer Sciences, or Mathematics with specialties in natural language processing, recommendation system, information retrieval
- 2+ years experience in building machine learning or deep learning models for large scale customer facing product or features.
- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI)
- Solid software development experience
- Good written and verbal communication skills

As a people leader, you will build and lead the team, manage performance, and shepherd the careers of your direct reports. Your excellent communication skills will be used to sharpen technical ideas, establish clear priorities, and drive high quality work.This highly visible role requires frequent communication with senior leadership in order to help shape and deliver on the product roadmap, and technical / business / customer experience goals. You will be given an opportunity to own and drive initiatives through the entire software stack -- from algorithmic innovation, all the way down to the datasets that the back-end services consume. You will also need a pragmatic and iterative approach to building software: an ability to simplify and get things done with a demonstrated track record of building and delivering software and working effectively with external and internal teams.The ideal candidate is looking for a career where you’ll be able to think big, create, build, deliver, and impress. You look at problems holistically, and thrive on the intricate complexity of understanding feedback loops and ecosystems. You want to work on projects where you are implementing solutions to real problems that require creative solutions, deep understanding of the problem space, and challenging yourself and others to constantly come up with better solutions.Key job responsibilities

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

As a Sr software engineer you will be responsible for designing highly scalable APIs and implementing controls to help our partners scale. You will have a direct impact on our customers by putting our vast amount of data to work by deploying advanced analytics and machine learning algorithms to automate advertisers marketing strategies, increase sales for advertisers. You will build robust predicting services and recommendation engines for solutions that handle massive throughput under tight latency constraints including optimization of runtime machine learning models.Key job responsibilities
You are:Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.You will:Collaborate on product direction: You’ll build and maintain strong relationships between engineering and partner disciplines (Product, User Experience, QA) to ensure that we're focused on delivering the right product for customers.

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Come help us build on our world-class data streaming service Amazon Marketing Stream. Stream is used by Amazon Ads partners or advertisers to subscribe to advertising data sets. Stream delivers the data to partner or advertiser-owned AWS destinations in near real-time, without needing to call the API repeatedly throughout the day. With Stream, partners and advertisers can use AWS services natively to receive and process advertising data. Stream helps improve data integration patterns and operational efficiency by reducing the number of API calls that are typically required for intra-day campaign optimization. We’re looking for a Software Development Manager to lead the development of Stream.Key job responsibilities
You will be responsible for the full software development lifecycle of the Amazon Marketing Stream product. You will own the full SDLC and for this application, and use them to raise the bar for our Reporting experience as a whole. Candidates for this position should have strong engineering fundamentals as well as real-world experience. You will showcase diverse architectural approaches and design patterns in your technical design. Think big and stay informed about industry standards in Ad tech space. Communicate effectively across all leadership levels verbally and in writing. Lead deep technical discussions with senior engineers, collaborating to solve challenging problems. You will be able to quickly grasp new systems and provide valuable consultation.A day in the life

- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers