Sr Software Development Engineer

AWS AI is looking for worldclass software developers to join the Deep Learning crossframework team. In this organization you will be responsible for contributing extensions to the TensorFlow and PyTorch machine learning frameworks and for developing crossframework solutions to support training of Deep Learning models at scale involving thousands of accelerators. You will be working in a fastpaced crossdisciplinary team of engineers and researchers who are leaders in the field. You will take on challenging problems elicit requirements and deliver innovative solutions into production that consolidate the AI team as thought leaders in the space.

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 their cloud services.

Key job responsibilities
As a Software Development Engineer in the SageMaker Engines team you will be responsible for:
Developing innovative solutions for supporting Large Language Model training in a cluster of nodes;
Implementing model parallelism methods such as pipeline and tensor parallelism as extensions to the PyTorch framework;
Implementing sharding of the model training state activation checkpointing/offloading and other memory saving techniques;
Optimizing distributed training by profiling identifying bottlenecks and addressing them by improving compute and network performance as well as finding opportunities for better compute/communication overlap;
Optimizing communication collectives for the AWS network infrastructure;


A day in the life
The SageMaker Engines team develops technology for supporting training of Deep Learning models at large scale. This entails implementation of model parallelism and memory saving techniques to allow training of models across accelerators as well as implementation of network communication collectives optimized for the AWS infrastructure.

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 4 years of noninternship professional software development experience
4 years of programming with at least one software programming language experience
4 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
Bachelors degree in computer science or equivalent

4 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
. or PhD Degree in computer science engineering statistics mathematics or related field
Proficiency in the TensorFlow and/or PyTorch frameworks
Strong working knowledge of C programming language;
Strong working knowledge of Python programming language
Experience in developing highly scalable faulttolerant distributed systems
Experience with multithreaded asynchronous development in C
Solid understanding of machine learning techniques and concepts
Experience with High Performance Computing systems
Experience with CUDA programming
Experience with Deep Learning models for Natural Language Understanding or Computer Vision tasks;
Experience with Linux kernel system calls or POSIX API (process control communication and device management)

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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 $151300/year in our lowest geographic market up to $261500/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.