Software Dev Engineer - Machine Learning Apps, Accelerator

$99,500 - $200,000/Yr

Amazon - Cupertino, CA

Full-time - Entry Level

Cupertino, CA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Software Development Engineer - Machine Learning Apps position at Annapurna focuses on innovating and delivering software designs that enhance AWS services, particularly in machine learning and cloud infrastructure. The role involves collaborating with a diverse team to solve operational challenges and improve developer efficiency, while also contributing to the development of cutting-edge technologies that impact a vast user base.

Responsibilities

• Innovating and delivering creative software designs to develop new services and solve operational problems.
• Writing requirements capturing documents, design documents, integration test plans, and deployment plans.
• Communicating status and progress of deliverables to schedule, and sharing learnings and innovations with the team and stakeholders.

Requirements

• Currently enrolled in, or completed a Bachelor's degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related field.
• Programming experience in internship or coursework with programming languages such as Python and/or C or C++.
• Strong interests and academic qualifications/research focus in distributed systems, algorithms, operating systems, computer architecture, system development, or complexity analysis.

Nice-to-haves

• Previous technical internship(s).
• Experience with distributed, multi-tiered systems, algorithms, and relational databases.
• Experience in optimization mathematics such as linear programming and nonlinear optimization.
• Adept at handling ambiguous or undefined problems and ability to think abstractly.

Benefits

• Competitive salary based on geographic location and experience.
• Equity and sign-on payments as part of total compensation package.
• Full range of medical, financial, and other benefits.