Software Development Engineer Intern (Summer 2023) - Machine Learning Apps, Acceleration, Annapurna Labs

Are you excited about Machine Learning, chip acceleration, compilers, storage, systems or EC2? Are you passionate about delivering high quality services that affect hundreds of thousands of users? We are dubbed the "secret sauce" behind AWS's success, with development centers in the U.S. and Israel, Amazon is at the forefront of innovation by combining cloud scale with the world’s most talented engineers.

We hires for multiple disciplines Software and Hardware engineers including but not limited to *Complier engineer, Machine learning engineer, Runtime engineer, Performance engineer and ML chip accelerator, ASIC, physical designs*. Because of our teams’ breadth of talent, we’ve been able to improve AWS cloud infrastructure in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), in compute with AWS Graviton and F1 EC2 Instances, in machine learning with AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe.

Software Development Engineer (SDE) Internships
Amazon internships are full-time positions, and interns should expect to work 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.

About Us
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.

Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.

The team is comprised of some of the brightest minds in the engineering, research, and product communities, focused on the ambitious goal of creating a toolchain that will provide a quantum leap in performance.

Key job responsibilities
Your responsibilities will include but not limited to:

• Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety
• Writing requirements capturing documents, design documents, integration test plans, and deployment plans
• Communicating status and progress of deliverables to schedule
• Sharing learnings and innovations with your team and stakeholders

Basic Qualifications

* Currently enrolled in a Bachelor’s degree program or higher Computer Science, Computer Engineering, Electrical Engineering, in these fields are considered with an expected graduation date between Oct 2023 - Sept 2026.
* Programming experience in internship or coursework with programming language such as C++ or C and/or Python

* Candidates with strong interests and academic qualifications/research focus in two of the following -
* Distributed systems
* Machine Learning - Experience with XLA, TVM, MLIR, LLVM, deep learning models and algorithms
* Container
* Operating System - Linux system programming/services

Preferred Qualifications

* Previous technical internship(s), if applicable.
* Experience in automating
* Ability to effectively articulate technical challenges and solutions.
* Adept at handling ambiguous or undefined problems as well as ability to think abstractly.


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.