Software Development Engineer II MLAI

AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

At Amazon SageMaker AI we want to make it easy for our customers to train their deep learning workload in the cloud. With SageMaker HyperPod AWS is building customerfacing services to empower data scientists and software engineers in their deep learning endeavors. As our customers rapidly adopt LLMs and Generative AI for their business were building the nextgeneration AI platform to accelerate their development.

As an SDE II you will be responsible for designing developing testing and deploying distributed machine learning systems and largescale solutions for our worldwide customer base. You will collaborate closely with a team of ML engineers/scientists and customers to train AGI and Amazon Q models. Youll assist in gathering and analyzing business and functional requirements and translate requirements into technical specifications for robust scalable supportable solutions that work well within the overall system architecture. You will also drive the system architecture spearhead best practices that enable a quality product and help coach and develop junior engineers. A successful candidate will have an established background in engineering large scale software systems a strong technical ability great communication skills and a motivation to achieve results in a fast paced environment.

About You:

You are passionate about building platform and products for large scale deep learning model training 100 billion parameter GPT 1000s of GPU devices). You have a proven track record of bringing innovative research to customers. You are able to thrive and succeed in an entrepreneurial environment and not be hindered by ambiguity or competing priorities. Ownership delivering results thinking big and analytical leadership are essential to success in this role.

You have solid experience in python typescript and multithreaded asynchronous C/Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes high performance computing building scalable systems experience in large language model training.

This is a great team to join to have a huge impact on AWS and the worlds customers we serve!

A day in the life
Every day will bring new and exciting challenges on the job while you:

* Build and improve nextgeneration AI platform
* Collaborate with internal engineering teams leading technology companies around the world and open source community PyTorch NVIDIA/GPU
* Create innovative products to run at scale on the AI platform and see them launched in high volume production

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

EEO/Accommodations
AWS is committed to a diverse and inclusive workplace to deliver the best results for our customers. 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; we celebrate the diverse ways we work. For individuals with disabilities who would like to request an accommodation please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting 3 years of noninternship professional software development experience
2 years of noninternship 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
Bachelors degree in computer science or equivalent

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.