Software Development Engineer Intern - Machine Learning Chip Architect
Amazon Web Services (AWS)Job Description
Amazon Web Services (AWS) is seeking a Software Development Engineer Intern to join the Machine Learning Chip Architecture team. This internship offers a unique opportunity to work on cutting-edge technology and contribute to the development of state-of-the-art solutions in machine learning and computer architecture.
Key Responsibilities
- Accelerate large-scale machine learning workloads across algorithms, software, and hardware.
- Serve as the interface between software and hardware teams, bridging the gap between silicon capabilities and application requirements.
- Drive performance improvements on existing AWS hardware platforms and propose, evaluate, and develop hardware optimizations for future products.
Qualifications
Basic Qualifications
- Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis.
- Experience with at least one modern programming language such as Java, Python, C++, or C#.
- Must be 18 years of age or older.
Preferred Qualifications
- Experience with distributed, multi-tiered systems, algorithms, and relational databases.
- Knowledge of programming languages such as C/C++, Python, Java, or Perl.
- Experience in optimization mathematics such as linear programming and nonlinear optimization.
About the Team
AWS values diverse experiences and encourages candidates from all backgrounds to apply. The team is committed to fostering an inclusive culture that empowers employees to be proud of their differences.
Why AWS?
AWS is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, providing a robust suite of products and services to power businesses globally.
Work/Life Balance
AWS values work-life harmony and offers flexible work hours and arrangements to support employees both at work and at home.
Mentorship and Career Growth
AWS provides endless knowledge-sharing, mentorship, and career-advancing resources to help employees develop into well-rounded professionals.
Join us at AWS and help build the future of cloud computing!
Benefits Extracted with AI
- Flexible work hours
- Mentorship and career growth
- Inclusive team culture
- Work-life balance
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